296 Knime Jobs - Page 5

: Must have experience in BFSI domain. Knowledge of data transformation tools like KNIME. Problem solving and good communication skills Proficient in data analytics, reporting and integration platform using Knime . Having experience in SQL would be advantageous. Excellent written and oral communication skills with the ability to clearly communicate ideas. Should be a fast learner and a self- starter, open to learning new tools. Positive attitude, enthusiasm toward work, and ability to work well with a team.

Description Associate Digital Innovation Engineer – Chemical Engineer Location : Chennai, India Required Language : English Employment Type : Permanent Seniority Level : Associate Travel : <10% Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman works proactively and collaboratively with its worldwide customers in pulp and paper, leather, and water treatment to deliver exceptional service and innovative specialty chemical solutions to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment. Buckman is in the middle of a digital transformation of its businesses and focused on building the capabilities and tools in support of this. Job Description We are looking for degreed chemical engineers to staff our remote monitoring team at our Chennai offices. You will be creating and using advanced tools to monitor our customer facilities around the world in the Paper, Water, Leather and Performance Chemicals sectors. The range of responsibilities of the remote monitoring team could include detecting, diagnosing and responding in real time to system anomalies, optimizing system performance remotely, assisting with installation and commissioning, handling device management, assisting with user acceptance testing etc. You will work with key stakeholders in the sales and service front to ensure we are managing systems consistently, and efficiently. Candidates will staff Night shifts on a rotating basis. If you like working for an entrepreneurial company with a Sustainability mission and digital ambitions at the core of its strategy, Buckman is the place for you. Basic Qualifications Bachelor's degree in Chemical Engineering, Environmental Engineering, Chemistry or related field from a reputed university 1-2 year of work experience in the chemical engineering field Strong communications skills in English and ability to work with global stakeholders effectively An aptitude to learn digital tools and technologies Preferred Qualifications 2+ years of experience in the chemical engineering field Hands-on work experience with open-source data analytics toolsets such as R, Python, MATLAB, etc. Background and expertise in one of the following areas: Advanced use of tools like Excel Exposure to data analytics and visualization platforms such as SAS, Rapidminer, PowerBI, KNIME, etc. Software Internet of Things applications Preferred Personality Traits A strong business focus, ownership and inner self-drive to solve real-world impactful problems with innovative digital solutions. Pleasant personality and collaborates easily with others Aims high and brings a sense of urgency and ownership to all tasks A life-long learner who constantly updates skills

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description | Sr. Manager – Digital Analyst. Who are we? We at spocto are developing a full stack collections platform that is powered by AI ML capabilities, that is radically changing collections within the debt industry. In March 2022, we became India’s fastest fintech and most impactful start-up to join the unicorn club with a Series B fundraising round of $137 million. We already have all the top Banks and NBFCs as our clients. We have offices in Mumbai, Chennai, Bangalore and Dubai. We plan to expand our business across the EU, USA and SE Asia over the next couple of years. Job Title – Sr. Manager – Digital Analyst. Reports to – Senior VP. Location: Thane. Responsibilities: A Bachelor or Masters’ Degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Math, Economics, Statistics, Analytics, Management/Business Information Systems, or related degree) Minimum of 10 years of related work experience Data management and visualization skills / tools in one or all of the following (SQL, KNIME, Tableau, Power BI or similar). Strong business acumen & communication skills, including the ability to deliver a clear story to influence agreement to your recommendations with data and insights. Experience conducting quantitative and qualitative analysis with analytics techniques to solve defined business problems. Self-motivated to work with diverse business scenarios, prioritizing multiple priorities and have a business and consultancy mind-set, while technically (data) savvy, and passionate about discovering new/better ways of doing things! Requirements Requirements: Post Graduate / Graduate from premier institute. 8 – 10 years’ experience in Analytics. Preferably from Fintech / BFSI / NBFC industry. Excellent communication and leadership skills to lead and motivate a growing and changing service operation The ability to engage with directors and managers at all levels across the wider business to achieve goals and objectives. Ability to multitask and remain calm under pressure, especially during peak hours or intense situations. Exceptional interpersonal, customer service, problem-solving, verbal and written communication, and conflict resolution skills. Knowledge of management principles and familiarity with company products, services, and policies. Strong coaching and leadership skills, ability to motivate employees. Want to know more about spocto and its culture? In this Company, not only are we understanding about customers and the importance of repayment, but we are the first movers when it comes to introducing cutting edge technology to this industry. We have products and features specifically built to help our clients improve their collections efficiency, enhance customer experience and most importantly, bringing perfect compliance in their operations. Our products: SMARTRank - An Early Warning System that highlights ‘Value-at-risk’ within portfolio SMARTCollect - A digital first phygital collections platform powered by AI ML capabilities KisanPay - An Agri initiative by spocto to bring farmers mainstream through education, context, and the power of linguistics Bhaasa - A powerful AI conversational bot that is packed with all major languages across 100+ dialects In Feb 2022, spocto was acquired by Yubi (formerly known as CredAvenue). About Yubi: Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the worlds possibility platform for the discovery, investment, fulfilment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India’s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Loans – Term loans and working capital solutions for enterprises. Yubi Invest – Bond issuance and investments for institutional and retail participants Yubi Pool – End-to-end securitisations and portfolio buyouts. Yubi Flow – A supply chain platform that offers trade financing solutions. Yubi Co.Lend – For banks and NBFCs for co-lending partnerships. Currently, we have onboarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Come, join the club to be a part of our epic growth story. LinkedIn Link – https://www.linkedin.com/company/spocto/ Instagram Link(Do follow, like and share) – https://www.instagram.com/spocto.global/ Gulf News –Indian fintech spocto wants to make it easier for UAE banks to lend https://gulfnews.com/business/banking/indian-fintech-spocto-wants-to-make-it-easier-for-uae-banks-to-lend-1.1664955501878 Khaleej Times - https://www.khaleejtimes.com/business/indias-fintech-unicorn-yubi-makes-uae-debut Forbes - https://www.forbesindia.com/article/take-one-big-story-of-the-day/how-spocto-is-making-collecting-on-loans-quicker-and-more-efficient/80351/1

In this role you’ll make an impact by : Using automated tools to extract data from primary and secondary sources. Correcting corrupt data and addressing coding errors and related issues to ensure data integrity and system functionality. Developing and maintaining databases, and data systems – reorganizing data in a readable format Conducting evaluations to gauge the integrity and significance of data. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction. Preparing reports for the management stating trends, patterns, and predictions using relevant data Collaborate with cross-functional teams to develop and maintain supply chain planning models and tools. Conduct in-depth analysis of inventory levels, demand forecasts, and production schedules to support operational planning. Provide insights and recommendations for process improvements and cost-saving initiatives within the supply chain and planning portfolio. Developing and maintaining data models to support business decision-making and analytical processes. Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends. Another integral element of data analysis is EDA or Exploratory Data Analysis Project. In such data analyst projects, the analyst needs to scrutinize data to recognize and identify patterns and use data modeling techniques to summarize the overall features of data analysis. To succeed you must hold: Bachelor’s / master’s degree in supply chain management, Business Analytics, or a related field Proven experience in supply chain planning, inventory management, and data analysis 3 to 7 years of experience in the field of Data and Analytics, SCM. Strong understanding of supply chain concepts, including demand forecasting, inventory optimization, and production planning. Possessing an analytical mindset to gather, quantify, structure, and interpret data. Technical proficiency in database design development, data models, techniques for data mining, and segmentation. Knowledge of programming languages like SQL, R, and Python Experience with data visualization tools like PowerBI is a must. Proficiency in addressing challenges, precision, and meticulous focus on detail. Networking & collaboration skills in a global setup -Working experience with Europe, Americas, and APAC stakeholders. Excellent Verbal and Written communication skills. Proven working experience in data analysis. Experience in working with data analytics & reporting platforms like KNIME and data processing platforms like Snowflake will be an added advantage.

Description ADIE – Data Science Location : Chennai, India Required Language : English Employment Type : Full Time Seniority Level : Associate Travel : 10 % Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman works proactively and collaboratively with its worldwide customers in pulp and paper, leather, and water treatment to deliver exceptional service and innovative specialty chemical solutions to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment. Buckman is in the middle of a digital transformation of its businesses and focused on building the capabilities and tools in support of this. Job Description We are looking for experienced data science professionals to be part of the data science program. You will work closely with Buckman stakeholders to derive deep industry knowledge across leather, paper, water, and performance chemical industries. You will help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers and augmenting capabilities with additional internal hires. A large part of the job is communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve problems in unique and novel ways. In addition to the pure data science problems, you will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions. If you like working for an entrepreneurial company with a Sustainability mission and Digital ambitions at the core of its strategy, Buckman is the place for you. Basic Qualifications Bachelor’s or Master’s degree in Data Science/Data Analytics, Applied Mathematics, Statistics, Computer Science or related science and technical field. Experience in developing predictive and deep data analytics solutions and optimization scenarios involving expertise in data extraction, analysis, and visualization in the following areas: Hands-on work experience with open-source data analytics toolsets such as R, Python, etc. Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Exposure to data analytics and visualization platforms such as SAS, Rapidminer, MATLAB, Minitab, PowerBI, KNIME, PowerApps, etc. Experience in cloud computing (Azure, AWS, etc.), data analytics architecture (Azure Machine Learning, Datalake analytics, Workbench, Stream Analytics, etc.) and data engineering technologies (Datalake, CosmosDB, Hadoop, SQL and No-SQL databases, etc.). A demonstrated record of success with a verifiable portfolio of data science problems tackled in different domains. Strong communications skills in English and ability to work with global stakeholders effectively. Preferred Qualifications Experience in the specialty chemicals sector or similar industry An aptitude to learn new digital tools and technologies. Knowledge in quantitative modeling tools and statistical analysis. Background and exposure to Internet of Things applications, Software. Personality Traits Pleasant personality and collaborates easily with others. Aims high and brings a sense of urgency and ownership to all tasks. A life-long learner who constantly updates skills through online learning and other means. A strong business focus, ownership and inner self-drive to solve real-world impactful problems with innovative digital solutions. Ability to collaborate effectively with multi-disciplinary and passionate team members.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: -Stakeholder facing role across different functions of the organizations (e.g., Marketing, Finance, Logistics, Procurement, Customer, Supply Chain, HR) to develop analyses that lead to actionable insights that accelerate profitable growth. -Working with bigdata, SAP, Oracle, Workday or several other large and complex databases. Responsibilities: -Designing and building analytical / ML algorithms using Python, R and other statistical tools. -Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. -Ability to learn new scripting language or analytics platform Mandatory skill sets: -Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. -Strong knowledge of Deep Learning and Neural Network Architectures like CNN, RNN, LSTM, Transformers etc. -Strong knowledge of SQL and R/Python and experience with distribute data/computing tools. -Experience in advanced Text Analytics (NLP, NLU, NLG). -Strong hands-on experience of end-to-end statistical model development and implementation -Basic understanding of MLOps for scalable ML development. -Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. -Exposure to Cloud technologies (Azure or AWS Preferred skill sets: -Experience in video/ image analytics -Experience in IoT/ machine logs data analysis -Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME -Expertise in Cloud analytics platforms (Azure, AWS or Google) -Experience in Process Mining with expertise in Celonis or other tools Years of experience required: -3 to 10 years' experience in Analytics modeling -Experience in algorithm development -Open for domestic and international travels Education qualification: - M.Sc. / M.Stat/ MS (Statistics / Mathematics/ Economics/ Computer Science or ML/DL focus) -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) -MBA with ML/DL Focus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Science, Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Mining, Statistics Optional Skills Amazon Web Services (AWS), Microsoft Azure Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place. Your Impact You’ll be part of our Finance Operational Reporting Team in Chennai/Gurugram. Our team focuses on supporting the Finance community and its Leadership. You will collaborate closely with finance colleagues, data engineering and analytics teams, and deliver strategic impact across the group. Our diverse team includes Finance, Transformation experts, front-end architects, analysts, and data scientists distributed across India, Europe, and the United States. You will be responsible for the core development of an integrated suite of solutions using analytics and visualization toolsets such as Tableau, SAP/SAC/HANA, Power BI, Alteryx/Knime, and Snowflake/SQL. You will work closely with finance stakeholders and digital transformation and data engineering teams to translate business/user needs into technical specifications, design and develop rapid prototypes, iterating in rapid agile cycles to deliver digital and analytical solutions. This includes designing and developing high-quality analytical solutions using design thinking and agile working approaches, ensuring seamless integration with global enterprise systems, and close collaboration with enterprise product teams. You will manage end-to-end development and tracking of value capture plans, reporting, and metrics. You will derive novel insights using a wide variety of quantitative methods, including advanced analytics, and work with the data engineering team to model data for further consumption. You will provide technical consulting guidance to team members and cross-functional teams, respond swiftly to on-demand and high-priority requests, consolidate and digitize existing manual processes, and develop proof of concepts for new initiatives. Your overarching goal is to enable data-informed decision-making at all levels of the organization, raising awareness of the value of data through storytelling, communicating, and coaching members of your product group. Your Growth You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your qualifications and skills Bachelors or master’s in finance, Statistics, Computer Science, or another quantitative field Minimum of 5 years of professional experience in data analytics or research; Experience with applying statistics and analytics, problem-solving, and analytical skills Ability to communicate and show the value of data-informed decision-making, product design, and product management to a variety of stakeholders Understanding of the digital product lifecycle; comfort working with researchers, technical, and business teams; deep knowledge of an array of research methodologies Strong communication skills with the ability to articulate and optimize design based on the value to the user and the business In-depth knowledge of visualization tools (SAP Analytic Cloud, Tableau, and/or Power BI) In-depth knowledge of data modeling/analytics tools (Alteryx/Knime and Power-BI) is a plus Knowledge of relational databases, HANA, Snowflake/SQL is a plus Track record of partnering well with others to solve problems and actively incorporate input from various sources Ability to engage with people at all levels of the organization across cultures Understanding of agile/scrum principles of product and project management

Who You'll Work With You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have Continuous learning Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. Exceptional benefits In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact You’ll be part of our Finance Operational Reporting Team in Chennai/Gurugram. Our team focuses on supporting the Finance community and its Leadership. You will collaborate closely with finance colleagues, data engineering and analytics teams, and deliver strategic impact across the group. Our diverse team includes Finance, Transformation experts, front-end architects, analysts, and data scientists distributed across India, Europe, and the United States. You will be responsible for the core development of an integrated suite of solutions using analytics and visualization toolsets such as Tableau, SAP/SAC/HANA, Power BI, Alteryx/Knime, and Snowflake/SQL. You will work closely with finance stakeholders and digital transformation and data engineering teams to translate business/user needs into technical specifications, design and develop rapid prototypes, iterating in rapid agile cycles to deliver digital and analytical solutions. This includes designing and developing high-quality analytical solutions using design thinking and agile working approaches, ensuring seamless integration with global enterprise systems, and close collaboration with enterprise product teams. You will manage end-to-end development and tracking of value capture plans, reporting, and metrics. You will derive novel insights using a wide variety of quantitative methods, including advanced analytics, and work with the data engineering team to model data for further consumption. You will provide technical consulting guidance to team members and cross-functional teams, respond swiftly to on-demand and high-priority requests, consolidate and digitize existing manual processes, and develop proof of concepts for new initiatives. Your overarching goal is to enable data-informed decision-making at all levels of the organization, raising awareness of the value of data through storytelling, communicating, and coaching members of your product group. Your Qualifications and Skills Bachelors or master’s in finance, Statistics, Computer Science, or another quantitative field Minimum of 5 years of professional experience in data analytics or research; Experience with applying statistics and analytics, problem-solving, and analytical skills Ability to communicate and show the value of data-informed decision-making, product design, and product management to a variety of stakeholders Understanding of the digital product lifecycle; comfort working with researchers, technical, and business teams; deep knowledge of an array of research methodologies Strong communication skills with the ability to articulate and optimize design based on the value to the user and the business In-depth knowledge of visualization tools (SAP Analytic Cloud, Tableau, and/or Power BI) In-depth knowledge of data modeling/analytics tools (Alteryx/Knime and Power-BI) is a plus Knowledge of relational databases, HANA, Snowflake/SQL is a plus Track record of partnering well with others to solve problems and actively incorporate input from various sources Ability to engage with people at all levels of the organization across cultures Understanding of agile/scrum principles of product and project management

Summary Novartis is looking for Senior Analyst for its International BA team. The Senior Analyst will be responsible for providing analytical support on high complexity reports to internal customers, contributing to business decision-making by commercial analytics data and identifying trends. The role includes working in multiple commercial analytics projects, exploring innovative solutions, and developing reporting platforms based on business inputs. The Senior Analyst will work collaboratively with various cross-functional teams to meet business requirements. They will also participate in performance tracking, knowledge sharing, and support day-to-day business-related tasks. The role requires being detail-oriented, having a knack for interpreting data trends and insights, and being adept at collaborative work. About the Role Key Responsibilities: Possess strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information Interpret complex and granular data, Analyse results and derive actionable insights. Clearly communicate data-driven insights to stakeholders and influence decision-making processes Develop, maintain, and improve accurate, actionable, and insightful reporting solutions and dashboards Manage and organize data sets from databases to find patterns and trends in data while ensuring data integrity and accuracy Use data analytics to understand customer behavior and improve marketing effectiveness Drive standardization of reports across brands Establish and maintain positive relationships with key stakeholders and understand their perspectives Conduct extensive business process analysis to identify areas for process improvement and efficiency Stay informed on industry trends and developments to advise management on strategies for business growth Build and maintain standard operating procedures (SOPs), quality checklists to enable excellent quality outputs and knowledge repositories Minimum Requirements: MBA with Graduate / Postgraduate in Medicine (MD/MBBS/BDS) Pharmacy / Life Sciences/ bachelor’s degree in marketing, Statistics, or a related field. 3-6 years of proven ability in business analytics in a market research firm or pharmaceutical company or Pharma KPO/ Consulting 3-6 years of overall experience in digital marketing, web analytics, good knowledge of data modelling, SQL and robust technical problem-solving skills. Expertise in MS Excel, SQL, Power Query, and ETL tools like Alteryx, DataIKU, VBA, or KNIME. Knowledge of Statistical modelling or ML is preferred 3+ years of extensive experience working with Power BI Proficiency in statistical analysis tools (R, Python, or similar) will be preferred High agility to work across projects, dataset and technologies Excellent presentation and stakeholder management skills Exceptional written and verbal communication skills, with the ability to translate complex data into actionable insights Ability to operate optimally in an international matrix environment. Strong teammate who is dynamic and result oriented Understanding of healthcare terminology and real-world patient level data will be desirable Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. Desired Skills: Preferred: Knowledge of the disease areas within the Pharma sector, with strong leadership and communication skills Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Operations Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About The Team The Stripe Product Accounting Team is responsible for supporting all products at Stripe, consulting on accounting implications and supporting teams' ability to make informed strategic decisions. We are responsible for the accurate and timely recording of all business-generated transactions on our balance sheet and income statement. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams. What you’ll do Stripe is seeking an experienced accountant to join its world class Accounting team and help us scale for the future, in a fast-paced environment that is growing rapidly. In this role you will support our Payments and Payment Products revenue accounting, leveraging your technical expertise with US GAAP, specifically ASC 606, to quickly identify accounting implications and impacts to customers while advising and collaborating with team members cross-functionally to develop operational processes that help us scale. Responsibilities Partner closely with our product, go-to-market, and finance partners to thoroughly understand new products, features, and contracts. To leverage your familiarity with US GAAP, specifically ASC 606 (IFRS 15 acceptable), and in-depth understanding of the transaction level processes, to quickly identify the accounting implications of proposed contract terms and product design and collaborate with team members to provide solutions that meet all stakeholders’ objectives Partner closely with our product, go-to-market, and finance partners to thoroughly understand new products, features, and contracts You will be responsible for documenting the Company’s accounting positions and communicating them to varying levels in the organization Partner with internal systems and engineering teams to support internal financial systems and automation of accounting processes Assess the effectiveness of internal controls, and design new processes and controls for emerging and growing business activities Develop and maintain up-to-date accounting procedural documentation Understand balance sheet reconciliations, variance analyses, financial reporting deliverables, and perform analytical reviews Produce internal management analyses and reporting Support external audit processes Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum Requirements An accountancy qualification (e.g. CA, CPA, ACA, ACCA, CIMA) with 3 - 6 years of relevant accounting experience Degree in Accounting or Finance background Working knowledge of US GAAP - ASC 606 (or IFRS 15) The ability to bring structure to ambiguous areas of opportunity and thrive in a fast-moving environment Strong analytical skills and strong knowledge of Google Sheets / Excel An enthusiastic “roll up your sleeves” mentality A passion for creating new systems and solving problems via infrastructure and automation Demonstrated ability to work cross-functionally and with different cultures Demonstrated experience with internal controls Ability to be flexible and comfortable with changing requirements Preferred Qualifications CPA/ CA or similar qualification Technical expertise with US GAAP, specifically ASC 606/IFRS 15 Knowledge of (or experience in) the technology or payments industry Experience working with Oracle Suite, SalesForce Experience with Hubble and SQL Experience with Analytical Tools like- Power BI, Tableau, KNIME, Python, Alteryx In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About The Team This team is responsible to perform quantitative analysis or dashboard building needed to help guide key business decisions. This includes applying knowledge of Lowe's data concepts to the creation of relevant analytic designs and making sound, data‐driven business recommendations. Job Summary This role leverages multiple resources, advanced analytic methodologies, and data streams to support recommendations for business decisions and reporting solutions. With a focus specifically on Pro & Services, this role provides data capture capabilities to support analytics needs for all Pro & Services business areas. This role translates business needs to effective analytics specifications that provide metrics for analytic solutions across various initiatives. This individual executes analytic, reporting, and automation projects with minimal support while getting direction from manager and senior level staff to provide expertise in problem analysis, solution implementation, and ongoing opportunities in the assigned business area. To be successful, the individual in this role must have a fair understanding of analytical techniques and disparate data sources ‐ both internal and external, reporting tools and techniques. Roles & Responsibilities Core Responsibilities: Responsible for providing area-specific business data analytics, development and deployment of necessary dashboards and reporting. Helps gather business requirements and translates into reporting solutions, analytic tools, and dashboards to deliver actionable data to end users. Synthesizes findings, prepares reports and presentations, and presents findings to management. Communicates data driven insights to leaders by preparing analyses using multiple data sources, translating findings into clear, understandable themes, identifying complete, consistent, and actional insights and recommendations. Develops, configures, and modifies database components within various computing environments by using various tools such as SQL and/or Power BI to access, manipulate, and present data. Years Of Experience 1-2 years of experience using analytic tools (e.g., SQL, Alteryx, Knime, SAS). 1-2 years of experience using data visualization tools (e.g., Power BI, Microstrategy, Tableau). 1-2 years of experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Oracle, DB2). Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s degree in business administration, Finance, Mathematics, or Related Fields and 1 Years Related Experience OR master’s degree in business administration, Finance, Mathematics, or Related Fields. Skill Set Required Primary Skills (must have) Hands on experience in analytical tools (e.g., SQL, Alteryx, Knime, SAS). Experience using data visualization tools (e.g., Power BI, Microstrategy, Tableau). Experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Oracle, DB2). Secondary Skills (desired) Basic understanding of the retail/home improvement industry Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Company Description Forbes Advisor i s a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We believe in the power of entrepreneurial capitalism and use it on various platforms to ignite the conversations that drive systemic change in business, culture, and society. We celebrate success and are committed to using our megaphone to drive diversity, equity and inclusion. We are the world’s biggest business media brand and we consistently place in the top 20 of the most popular sites in the United States, in good company with brands like Netflix, Apple and Google. In short, we have a big platform and we use it responsibly. Job Description The Data Research Engineering Team is a brand new team with the purpose of managing data from acquisition to presentation, collaborating with other teams while also operating independently. Their responsibilities include acquiring and integrating data, processing and transforming it, managing databases, ensuring data quality, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Data Research Engineer- Team Lead will involve guiding team members through code standards, optimization techniques, and best practices in debugging and testing. They oversee the development and consistent application of testing protocols, including unit, integration, and performance testing, ensuring a high standard of code quality across the team. They work closely with engineers, offering technical mentorship in areas like Git version control, task tracking, and documentation processes, as well as advanced Python and database practices. Responsibilities Technical Mentorship and Code Quality: Guide and mentor team members on coding standards, optimization techniques, and debugging. Conduct thorough code reviews, provide constructive feedback, and enforce code quality standards to ensure maintainable and efficient code. Testing and Quality Assurance Leadership: Develop, implement, and oversee rigorous testing protocols, including unit, integration, and performance testing, to guarantee the reliability and robustness of all projects. Advocate for automated testing and ensure comprehensive test coverage within the team. Process Improvement and Documentation: Establish and maintain high standards for version control, documentation, and task tracking across the team. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Serve as the team’s primary resource for troubleshooting complex issues, particularly in Python, MySQL, GitKraken, and Knime. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including architecture design, data engineering best practices, and advanced Python programming. Guide the team in building scalable and reliable data solutions. Cross-Functional Collaboration: Work closely with data scientists, product managers, and quality assurance teams to align on data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging data engineering methodologies and best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement, and maintain scalable data pipelines for efficient data transfer, cleaning, normalization, transformation, aggregation, and visualization to support production-level workloads. Big Data: Leverage distributed processing frameworks such as PySpark and Kafka to manage and process massive datasets efficiently. Cloud-Native Data Solutions: Develop and optimize workflows for cloud-native data solutions, including BigQuery, Databricks, Snowflake, Redshift, and tools like Airflow and AWS Glue. Regulations: Ensure compliance with regulatory frameworks like GDPR and implement robust data governance and security measures. Skills and Experience Experience : 8 + years Technical Proficiency: Programming: Expert-level skills in Python, with a strong understanding of code optimization, debugging, and testing. Object-Oriented Programming (OOP) Expertise: Strong knowledge of OOP principles in Python, with the ability to design modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Management: Proficient in MySQL and database design, with experience in creating efficient data pipelines and workflows. Tools: Advanced knowledge of Git and GitKraken for version control, with experience in task management, ideally on GitHub. Familiarity with Knime or similar data processing tools is a plus. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Ability to embed automated testing within development workflows. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Problem-Solving Skills: Ability to handle complex technical issues and serve as a key resource for team troubleshooting. Expertise in guiding others through debugging and technical problem-solving. Strong Communication Skills: Effective communicator capable of aligning cross-functional teams on project requirements, technical standards, and data workflows. Adaptability and Continuous Learning: A commitment to staying updated with the latest in data engineering, coding practices, and tools, with a proactive approach to learning and sharing knowledge within the team. Data Pipelines: Comprehensive expertise in building and optimizing data pipelines, including data transfer, transformation, and visualization, for real-world applications. Distributed Systems: Strong knowledge of distributed systems and big data tools such as PySpark and Kafka. Data Warehousing: Proficiency with modern cloud data warehousing platforms (BigQuery, Databricks, Snowflake, Redshift) and orchestration tools (Airflow, AWS Glue). Regulations: Demonstrated understanding of regulatory compliance requirements (e.g., GDPR) and best practices for data governance and security in enterprise settings Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Additional Information All your information will be kept confidential according to EEO guidelines.

Company Description Forbes Advisor i s a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We believe in the power of entrepreneurial capitalism and use it on various platforms to ignite the conversations that drive systemic change in business, culture, and society. We celebrate success and are committed to using our megaphone to drive diversity, equity and inclusion. We are the world’s biggest business media brand and we consistently place in the top 20 of the most popular sites in the United States, in good company with brands like Netflix, Apple and Google. In short, we have a big platform and we use it responsibly. Job Description The Data Research Engineering Team is a brand new team with the purpose of managing data from acquisition to presentation, collaborating with other teams while also operating independently. Their responsibilities include acquiring and integrating data, processing and transforming it, managing databases, ensuring data quality, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Data Research Engineer- Team Lead will involve guiding team members through code standards, optimization techniques, and best practices in debugging and testing. They oversee the development and consistent application of testing protocols, including unit, integration, and performance testing, ensuring a high standard of code quality across the team. They work closely with engineers, offering technical mentorship in areas like Git version control, task tracking, and documentation processes, as well as advanced Python and database practices. Responsibilities Technical Mentorship and Code Quality: Guide and mentor team members on coding standards, optimization techniques, and debugging. Conduct thorough code reviews, provide constructive feedback, and enforce code quality standards to ensure maintainable and efficient code. Testing and Quality Assurance Leadership: Develop, implement, and oversee rigorous testing protocols, including unit, integration, and performance testing, to guarantee the reliability and robustness of all projects. Advocate for automated testing and ensure comprehensive test coverage within the team. Process Improvement and Documentation: Establish and maintain high standards for version control, documentation, and task tracking across the team. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Serve as the team’s primary resource for troubleshooting complex issues, particularly in Python, MySQL, GitKraken, and Knime. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including architecture design, data engineering best practices, and advanced Python programming. Guide the team in building scalable and reliable data solutions. Cross-Functional Collaboration: Work closely with data scientists, product managers, and quality assurance teams to align on data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging data engineering methodologies and best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement, and maintain scalable data pipelines for efficient data transfer, cleaning, normalization, transformation, aggregation, and visualization to support production-level workloads. Big Data: Leverage distributed processing frameworks such as PySpark and Kafka to manage and process massive datasets efficiently. Cloud-Native Data Solutions: Develop and optimize workflows for cloud-native data solutions, including BigQuery, Databricks, Snowflake, Redshift, and tools like Airflow and AWS Glue. Regulations: Ensure compliance with regulatory frameworks like GDPR and implement robust data governance and security measures. Skills And Experience Experience: 8+ years Technical Proficiency: ○ Programming: Expert-level skills in Python, with a strong understanding of code optimization, debugging, and testing. ○ Object-Oriented Programming (OOP) Expertise: Strong knowledge of OOP principles in Python, with the ability to design modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. ○ Data Management: Proficient in MySQL and database design, with experience in creating efficient data pipelines and workflows. ○ Tools: Advanced knowledge of Git and GitKraken for version control, with experience in task management, ideally on GitHub. Familiarity with Knime or similar data processing tools is a plus. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Ability to embed automated testing within development workflows. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Problem-Solving Skills: Ability to handle complex technical issues and serve as a key resource for team troubleshooting. Expertise in guiding others through debugging and technical problem-solving. Strong Communication Skills: Effective communicator capable of aligning cross-functional teams on project requirements, technical standards, and data workflows. Adaptability and Continuous Learning: A commitment to staying updated with the latest in data engineering, coding practices, and tools, with a proactive approach to learning and sharing knowledge within the team. Data Pipelines: Comprehensive expertise in building and optimizing data pipelines, including data transfer, transformation, and visualization, for real-world applications. Distributed Systems: Strong knowledge of distributed systems and big data tools such as PySpark and Kafka. Data Warehousing: Proficiency with modern cloud data warehousing platforms (BigQuery, Databricks, Snowflake, Redshift) and orchestration tools (Airflow, AWS Glue). Regulations: Demonstrated understanding of regulatory compliance requirements (e.g., GDPR) and best practices for data governance and security in enterprise settings Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Additional Information All your information will be kept confidential according to EEO guidelines.

The Pazcare Revenue Operations Manager will lead the Revenue operations function for Pazcare, leading a team of data analysts to support business operations across Sales, Marketing and Customer success. Key responsibilities Lead a team of 4-6 data analysts to support high quality execution across Pazcares Revenue functions - Sales, Marketing & Customer Success. Planning Support development & management of annual, quarterly, monthly plans Reporting & Analytics Develop MIS & reporting in line with business KPIs & requirements Identify actionable business insights for business review Conduct deep dive analysis to investigate business issues Manage key data flows e.g. Revenue reporting, incentive calculations etc. Use tools like python, knime, google apps script etc. to automate or simplify data collection, enrichment & processing for business applications Data Enrichment Work with multiple tools & vendors to manage systematic data enrichment of prospect data e.g. Apollo, Lusha etc. Lead & Deal assignment Manage systems, rules & processes to score & assign leads & deals to SDRs and KAMs systematically Revenue Systems management User management, configuration, reporting and functionality enhancement in line with evolving business requirements CRM system (Zoho), Helpdesk system (Zoho), Telephony (Ozontel), GTM enablement (Mindtickle), Google Adwords, Google Analytics Work with Pazcare product team to manage integrations between Pazcare platform & Revenue systems Drive identification, selection & deployment of new systems

About us. Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.. Who you will work with. The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc.. You will work as part of a team comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts, on projects that typically range from 3 weeks to 6 months. Delivery models on projects vary from working as part of a broader global Bain case team, BCN working independently with a Bain Associate Partner / Partner or BCN working directly with end clients.. What you’ll do. Contribute as a manager of a 6–12-member team comprising of Project Leaders, Associates and Analysts to build solutions / perform analyses within CP domain. Work with different analytical tools and reinforce continuous understanding of (Tableau / Power BI, Alteryx / KNIME/Tableau Prep, SQL, Python, R other tools) on data from relevant data sources. Ensure timely, high-quality delivery to Bain case leadership/clients through effective team management; define deliverables; prioritize and set deadlines; review work, provide feedback and ensure quality control of 2+ cases in parallel. Exhibit expertise in scoping, designing and executing consumer products solutions based on client requirements & converting them into actionable tasks for the teams. Brainstorm with internal & external stakeholders to understand and resolve complex issues across work streams; Generate and screen realistic answers based on sound reality checks and recommend actionable solutions under different CP domains (go-to-market strategies, negotiation strategies, pricing/promotional plans, cost optimization, etc.). Build, own and maintain key client relationships with internal Bain global CP leadership and external client teams by contributing as thought partners. Identify and proactively engage on critical issues on projects and with clients; Proactively resolve roadblocks, escalate issues as needed. Delivering projects relating to brand strategy, revenue management, negotiations, pricing / promotions, IP etc., relevant to the CP industry. Expertise on 1 or more key sub-sectors within CP covering consumer preferences, trends, market and competitor landscape. Show ability to work in a fast-paced working environment; adapt to changing client situations and expectations. Effectively manage client and team meetings, deliver clear and professional presentations to the project leadership and client team. Brainstorm and suggest new ways of collaborating with the BCN – on products/clients/IP etc.. Work towards enhancing the efficiency of the solutions by driving innovative solutions like automation for efficiency etc.. Create professional development plans to provide effective coaching/training to project leaders (PLs) and associates as direct reports. Provide day-to-day coaching on work planning, problem solving, hypothesis generation and research. Constructively engage in mutual feedback process with supervisor and direct reportees; Recognize accomplishment and provide concrete, regular and actionable feedback. Participates in the hiring / supply building process for the CP CoE including screening profiles, interviews, induction, etc.. About you. Candidates should be graduates/post-graduates with strong academic records. Work experience range in case highest qualification is undergraduate studies – 8-11 years of relevant experience and exposure to management consulting and data analytics relating to market / business / consumer insights, preferably in a global MNC environment within Consumer Products / Retail industry domains. Work experience range in case highest qualification is postgraduate studies – 6-9 years of relevant experience and exposure to management consulting and data analytics relating to market / business / consumer insights, preferably in a global MNC environment within Consumer Products / Retail industry domains. Must have professional experience in providing internal/external strategic consulting to Consumer Products clients, aimed at developing go-to-market strategies, negotiation strategies, pricing/promotional plans, cost optimization for clients. Must have proven track record of managing and maintaining multiple client accounts and teams. Must have ability to analyze quantitative and qualitative data to identify patterns, opportunities and gaps, and integrate across disparate industry data resources (e.g., Nielsen/IRI, Mintel, Kantar, shopper card data, client financials etc.). Must have experience applying analytics to a range of business situations and a proven ability to synthesize complex data to generate simple and clear insights. Must have professional experience in analytical tools and techniques including / similar to Alteryx, Tableau, Power BI is mandatory; Understanding of Python, R, and SPSS would be a plus. Strong academic credentials, analytical ability and leadership skills. Must have excellent communication skills, can drive senior client/stakeholder level discussions succinctly to favorable outcomes. Must have ability to deal with ambiguity and develop open ended ideas to practical results. Must have maturity to lead by example, willingness to get into detail as required while also balancing delegation effectively. Must be a strong team player and demonstrated ability to motivate team members. Good to be updated with the latest advancements in AI, data analysis and data tools to apply best practices. What makes us a great place to work. We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents... Show more Show less

Who we are. About Stripe. Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.. About The Team. The Stripe Product Accounting Team is responsible for supporting all products at Stripe, consulting on accounting implications and supporting teams' ability to make informed strategic decisions. We are responsible for the accurate and timely recording of all business-generated transactions on our balance sheet and income statement. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.. What you’ll do. Stripe is seeking an experienced accountant to join its world class Accounting team and help us scale for the future, in a fast-paced environment that is growing rapidly. In this role you will support our Payments and Payment Products revenue accounting, leveraging your technical expertise with US GAAP, specifically ASC 606, Accounting systems, to quickly identify accounting implications and impacts to customers while advising and collaborating with team members cross-functionally to develop operational processes that help us scale.. Responsibilities. Build scalable accounting processes to support global growth in payment processing accounting. Partner with internal systems and engineering teams to support internal financial systems and automation of accounting processes. Conduct in-depth analyses using critical thinking to identify root causes, propose resolutions, and assess the financial impact of issues or opportunities.. Collaborate cross-functionally with engineering and accounting teams to drive solutions and ensure alignment on financial and operational outcomes.. Assess the effectiveness of internal controls, and design new processes and controls for emerging and growing business activities. Partner closely with our product, go-to-market, and finance partners to thoroughly understand new products, features, and contracts.. Develop and maintain up-to-date accounting procedural documentation. Plan and perform monthly and quarterly close activities, including journal entries, balance sheet reconciliations, variance analyses, financial reporting deliverables, and analytical reviews. Produce internal management analyses and reporting. Support external audit processes. Who you are. We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.. Minimum Requirements. An accountancy qualification (e.g CA, CPA, ACA, ACCA, CIMA) with 3 -6 years of relevant accounting experience. Degree in Accounting or Finance background. Proven experience in the monthly close process, journal preparation and posting, audit, regulatory reporting and exposure to accounting systems.. Experience in month end reporting and financial statement preparation. Working knowledge of US GAAP ASC 606, ASC326 & ASC450. The ability to bring structure to ambiguous areas of opportunity and thrive in an unstructured, fast-moving environment. Strong analytical skills and strong knowledge of Excel. An enthusiastic “roll up your sleeves” mentality. A passion for creating new systems and solving problems via infrastructure and automation. Demonstrated ability to work cross-functionally and with different cultures. Demonstrated experience with internal controls. Ability to be flexible and comfortable with changing requirements. Preferred Qualifications. CPA/ CA or similar qualification. Knowledge of (or experience in) the technology or payments industry.. Experience working with Oracle Suite. Experience with Hubble and SQL. Experience with Analytical Tools likePower BI, Tableau, KNIME, Python, Alteryx. In-office expectations. Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.. Pay and benefits. Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.. Show more Show less

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. About The Job PricewaterhouseCoopers Acceleration Centre (Kolkata) Private Limited is a joint venture in India among members of the PricewaterhouseCoopers Network that will leverage the scale and capabilities of its network. It is a member firm of PricewaterhouseCoopers International Limited and has its registered office in Kolkata, India. The Delivery Center will provide a professional with an opportunity to work in a dynamic environment where you will have the ability to develop process and quality-based skills. To really stand out and make us fit for the future in a constantly changing world, each one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. We are seeking a skilled Revenue Automation Associate to perform the revenue system implementation and data conversion for our revenue automation consulting area. The candidate will play a critical role in supporting our clients by ensuring compliance with accounting standards, implementing revenue recognition system and data conversion, optimizing revenue recognition processes, and driving cross-functional collaboration to achieve business objectives. As an Associate, you will work as part of a team of problem solvers and help clients solve their complex business issues from strategy to execution. The candidate will report to an AC Manager. The AC team works as an extension of our overseas Engagement Teams and works closely with those teams as well as clients directly. Requirements Preferred Knowledge/Skills: Good knowledge of revenue recognition principles and accounting standards, including ASC 606 / IFRS 15. Good understanding of business processes, systems, and controls related to revenue recognition. Good analytical skills, with the ability to assess complex issues, identify solutions, and make recommendations. Effective communication skills, with the ability to communicate complex concepts to non-technical stakeholders. Good interpersonal skills, with the ability to build relationships and collaborate effectively with clients’ stakeholders at all levels of the organization. Functional Skills Hands on experience with Data management as per business requirements for Analytics. Experience in dealing with financial data, and data analytics for business processes. Experience in performing data transformation, data quality checks, and data blending. Demonstrates good knowledge and understanding of performing on project teams and providing deliverables. Involving multiphase data analysis related to the evaluation of compliance, finance, and risk issues. Technical Tools Must have: Hands-on experience with MS-SQL / ACL or other structured query language. Demonstrates good knowledge and/or a proven record of success leveraging data manipulation and analysis technologies. Proficiency in Microsoft Excel, PowerPoint. Experience with Revenue Management systems (e.g., Oracle RMCS, Zuora Revenue), Alteryx, SQL, Microsoft Visio preferred. Demonstrates knowledge in Excel and its functionality. Good To Have Experience in a similar role in their current profile. Good understanding of business processes, systems, and controls related to revenue recognition. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Demonstrates good knowledge and / or proven record of success leveraging data visualization tools such as Power BI and Tableau. Education/Qualification Bachelor's degree in Accounting and Information System or a related field 1+ years of experience in relevant roles, with a focus on revenue recognition, preferably in a public accounting firm or a large corporation CPA or equivalent certification

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. About The Job PricewaterhouseCoopers Acceleration Centre (Kolkata) Private Limited is a joint venture in India among members of the PricewaterhouseCoopers Network that will leverage the scale and capabilities of its network. It is a member firm of PricewaterhouseCoopers International Limited and has its registered office in Kolkata, India. The Delivery Center will provide a professional with an opportunity to work in a dynamic environment where you will have the ability to develop process and quality-based skills. To really stand out and make us fit for the future in a constantly changing world, each one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. We are seeking a skilled Revenue Automation Senior Associate to perform the revenue system implementation and data conversion for our revenue automation consulting area. The candidate will play a critical role in supporting our clients by ensuring compliance with accounting standards, implementing revenue recognition system and data conversion, optimizing revenue recognition processes, and driving cross-functional collaboration to achieve business objectives. As a Senior Associate, you will work as part of a team of problem solvers and help clients solve their complex business issues from strategy to execution. The candidate will report to an AC Manager. The AC team works as an extension of our overseas Engagement Teams and works closely with those teams as well as clients directly. Requirements Knowledge/Skills: In-depth knowledge of revenue recognition principles and accounting standards, including ASC 606 / IFRS 15. Strong understanding of business processes, systems, and controls related to revenue recognition. Experience with Revenue Management systems (e.g., Zuora Revenue, Oracle RMCS), Alteryx, SQL, Microsoft Visio preferred. Excellent analytical skills, with the ability to assess complex issues, identify solutions, and make recommendations. Effective communication skills, with the ability to communicate complex concepts to non-technical stakeholders. Good interpersonal skills, with the ability to build relationships and collaborate effectively with clients’ stakeholders at all levels of the organization. Perform basic review activities and provide coaching to junior team members in completing their tasks. Functional Skills Hands on experience with Data management as per business requirements for Analytics. Experience in dealing with financial data, and data analytics for business processes. Experience in performing data transformation, data quality checks, and data blending. Demonstrates good knowledge and understanding of performing on project teams and providing deliverables. Involving multiphase data analysis related to the evaluation of compliance, finance, and risk issues. Technical Tools Must have: Hands-on experience with MS-SQL / ACL or other structured query language. Demonstrates good knowledge and/or a proven record of success leveraging data manipulation and analysis technologies. Proficiency in Microsoft Excel, PowerPoint. Demonstrates knowledge in Excel and its functionality. Good To Have Experience in a similar role in their current profile. Strong understanding of business processes, systems, and controls related to revenue recognition. Experience working on cross-functional projects or initiatives, with a proven track record of successful implementations. Strong accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Demonstrates thorough knowledge and / or proven record of success leveraging data visualization tools such as Power BI and Tableau. Education/Qualification Bachelor's degree in Accounting and Information System or a related field Level Of Experience 4+ years of experience in relevant roles, with a focus on revenue recognition, preferably in a public accounting firm or a large corporation Preferred CPA or equivalent certification

Req ID: 324385 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Supply Chain-Data & Analytics to join our team in Bangalore, Karnātaka (IN-KA), India (IN). Title: Data & Analytics Consultant Job Description As a Consultant/Sr. Consultant at NTT DATA Supply Chain Consulting, you join a team that helps craft supply chain strategies for the world’s largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment. Responsibilities Your will be working with a project team from NTT DATA Supply Chain Consulting and our clients to design, manage, and deliver analysis-driven, actionable supply chain design/optimization recommendations. Your primary roles will be to perform data ETL (extract, transform, load), build supply chain optimization models/digital twins, execute & evaluate supply chain scenarios, perform data analytics on input data, optimization model outputs with the help of reports, visualization charts/dashboards. Client and/or other NTT DATA SCC team members can be in multiple geographies. Specific Responsibilities Include Work closely with the project manager to gather, transform, analyze, summarize, and report client data Contribute to the design of the optimization model; build models according to specifications Use tools like Tableau and PowerBI to draw insights from large data sets using KNIME, SQL, Alteryx etc Develop comprehensive output reports from optimization scenarios Work closely with the project manager to design, develop, and integrate material for client presentations and support the project manager during presentations to the client Engage and collaborate with client teams to identify data issues, solution review & acceptance Identify and communicate ways to improve NTT DATA Supply Chain Consulting analysis tools and techniques Identify and communicate issues that may impact project schedule or quality Learn client industry & business challenges Create content, solve problems using qualitative & quantitative methodsOwn discrete elements in the project and drive them to completion Develop and maintain positive client relationships Refine problem solving & consulting skills Support marketing (blogs, success stories) & talent acquisition Qualifications The ideal candidate will: Hold a Bachelor’s or Master’s degree or equivalent equivalent from a leading institution in Industrial Engineering, Operations Research, Supply Chain Management, Logistics, or related major; Have two or more years of experience in using quantitative methods to analyze supply chain decisions. Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. Advanced skills in managing large data via relational databases is a plus Demonstrate a track record of playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred) Preferably have experience with LLamasoft Supply Chain Guru, ToolsGroup SO99+, JDA Supply Chain Strategist, and/or IBM LogicNet Plus, or similar supply chain modeling environments for Network Design and Inventory Optimization Have experience of working with teams in multiple geographies and cultures Demonstrate strong analytical skills & critical thinking Possess excellent communication (written& verbal) and presentation skills Manage multiple tasks and priorities concurrently and work well under tight timelines Reside in or be willing to relocate to Bengaluru, Karnataka, India with some travel to client sites Consultants/Sr. Consultants at NTT DATA Supply Chain Consulting must be comfortable operating in these roles: Doer: Ability to successfully complete critical project deliverables adhering to project deadlines Communicator: Ability to understand & communicate requirements, gaps and analyses with internal and client teams performing your own data analysis as necessary Problem Solver: Ability to utilize problem-solving skills to work through difficult challenges About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. About The Job PricewaterhouseCoopers Acceleration Centre (Kolkata) Private Limited is a joint venture in India among members of the PricewaterhouseCoopers Network that will leverage the scale and capabilities of its network. It is a member firm of PricewaterhouseCoopers International Limited and has its registered office in Kolkata, India. The Delivery Center will provide a professional with an opportunity to work in a dynamic environment where you will have the ability to develop process and quality-based skills. To really stand out and make us fit for the future in a constantly changing world, each one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. We are seeking a skilled Revenue Automation Senior Associate to perform the revenue system implementation and data conversion for our revenue automation consulting area. The candidate will play a critical role in supporting our clients by ensuring compliance with accounting standards, implementing revenue recognition system and data conversion, optimizing revenue recognition processes, and driving cross-functional collaboration to achieve business objectives. As a Senior Associate, you will work as part of a team of problem solvers and help clients solve their complex business issues from strategy to execution. The candidate will report to an AC Manager. The AC team works as an extension of our overseas Engagement Teams and works closely with those teams as well as clients directly. Requirements Knowledge/Skills: In-depth knowledge of revenue recognition principles and accounting standards, including ASC 606 / IFRS 15. Strong understanding of business processes, systems, and controls related to revenue recognition. Experience with Revenue Management systems (e.g., Zuora Revenue, Oracle RMCS), Alteryx, SQL, Microsoft Visio preferred. Excellent analytical skills, with the ability to assess complex issues, identify solutions, and make recommendations. Effective communication skills, with the ability to communicate complex concepts to non-technical stakeholders. Good interpersonal skills, with the ability to build relationships and collaborate effectively with clients’ stakeholders at all levels of the organization. Perform basic review activities and provide coaching to junior team members in completing their tasks. Functional Skills Hands on experience with Data management as per business requirements for Analytics. Experience in dealing with financial data, and data analytics for business processes. Experience in performing data transformation, data quality checks, and data blending. Demonstrates good knowledge and understanding of performing on project teams and providing deliverables. Involving multiphase data analysis related to the evaluation of compliance, finance, and risk issues. Technical Tools Must have: Hands-on experience with MS-SQL / ACL or other structured query language. Demonstrates good knowledge and/or a proven record of success leveraging data manipulation and analysis technologies. Proficiency in Microsoft Excel, PowerPoint. Demonstrates knowledge in Excel and its functionality. Good To Have Experience in a similar role in their current profile. Strong understanding of business processes, systems, and controls related to revenue recognition. Experience working on cross-functional projects or initiatives, with a proven track record of successful implementations. Strong accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Demonstrates thorough knowledge and / or proven record of success leveraging data visualization tools such as Power BI and Tableau. Education/Qualification Bachelor's degree in Accounting and Information System or a related field Level Of Experience 4+ years of experience in relevant roles, with a focus on revenue recognition, preferably in a public accounting firm or a large corporation Preferred CPA or equivalent certification

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. About The Job PricewaterhouseCoopers Acceleration Centre (Kolkata) Private Limited is a joint venture in India among members of the PricewaterhouseCoopers Network that will leverage the scale and capabilities of its network. It is a member firm of PricewaterhouseCoopers International Limited and has its registered office in Kolkata, India. The Delivery Center will provide a professional with an opportunity to work in a dynamic environment where you will have the ability to develop process and quality-based skills. To really stand out and make us fit for the future in a constantly changing world, each one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. We are seeking a skilled Revenue Automation Associate to perform the revenue system implementation and data conversion for our revenue automation consulting area. The candidate will play a critical role in supporting our clients by ensuring compliance with accounting standards, implementing revenue recognition system and data conversion, optimizing revenue recognition processes, and driving cross-functional collaboration to achieve business objectives. As an Associate, you will work as part of a team of problem solvers and help clients solve their complex business issues from strategy to execution. The candidate will report to an AC Manager. The AC team works as an extension of our overseas Engagement Teams and works closely with those teams as well as clients directly. Requirements Preferred Knowledge/Skills: Good knowledge of revenue recognition principles and accounting standards, including ASC 606 / IFRS 15. Good understanding of business processes, systems, and controls related to revenue recognition. Good analytical skills, with the ability to assess complex issues, identify solutions, and make recommendations. Effective communication skills, with the ability to communicate complex concepts to non-technical stakeholders. Good interpersonal skills, with the ability to build relationships and collaborate effectively with clients’ stakeholders at all levels of the organization. Functional Skills Hands on experience with Data management as per business requirements for Analytics. Experience in dealing with financial data, and data analytics for business processes. Experience in performing data transformation, data quality checks, and data blending. Demonstrates good knowledge and understanding of performing on project teams and providing deliverables. Involving multiphase data analysis related to the evaluation of compliance, finance, and risk issues. Technical Tools Must have: Hands-on experience with MS-SQL / ACL or other structured query language. Demonstrates good knowledge and/or a proven record of success leveraging data manipulation and analysis technologies. Proficiency in Microsoft Excel, PowerPoint. Experience with Revenue Management systems (e.g., Oracle RMCS, Zuora Revenue), Alteryx, SQL, Microsoft Visio preferred. Demonstrates knowledge in Excel and its functionality. Good To Have Experience in a similar role in their current profile. Good understanding of business processes, systems, and controls related to revenue recognition. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Demonstrates good knowledge and / or proven record of success leveraging data visualization tools such as Power BI and Tableau. Education/Qualification Bachelor's degree in Accounting and Information System or a related field 1+ years of experience in relevant roles, with a focus on revenue recognition, preferably in a public accounting firm or a large corporation CPA or equivalent certification

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team The Pro Rapid Insights team supports Lowe’s Pro business by delivering timely, actionable insights that guide data-driven decisions. We work closely with stakeholders across Marketing, Merchandising, Operations, and Product teams to provide analytical support and business visibility across key functions. Our work balances quick-turnaround requests with the development of scalable dashboards and scorecards that drive strategic planning. In a dynamic and fast-paced environment, the team is known for its agility, problem-solving mindset, and ability to turn complex data into clear, impactful solutions. Job Summary The primary purpose of this role is to perform mathematical and statistical analysis or model building as appropriate. This includes following analytical best practices, analyzing and reporting accurate results, and identifying meaningful insights that directly support decision making. This role provides assistance in supporting one functional area of the business in partnership with other team members. At times, this role may work directly with the business function, but the majority of time is spent working with internal team members to identify and understand business needs. Roles & Responsibilities Core Responsibilities: Analyze structured and unstructured data to uncover trends, customer behaviors, and business drivers specific to the Pro segment. Build and maintain dashboards, scorecards, and automated reporting solutions that track business KPIs and enable fast decision-making. Partner with cross-functional teams to define problems, gather requirements, and deliver data solutions that meet evolving business needs. Conduct root cause analyses, design experiments, and apply statistical modeling (e.g., regression, clustering, A/B testing) to evaluate the effectiveness of programs and initiatives. Translate analytical findings into compelling, actionable recommendations and clearly communicate them to stakeholders at various levels. Continuously seek ways to improve data quality, operational efficiency, and the scalability of analytics solutions. Stay up to date with new analytics tools and methodologies, contributing to the team’s collective learning and innovation. Years Of Experience 1 to 3 yrs of experience data analytics Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's degree in business administration, computer science, computer information systems (CIS), engineering, or related field (or equivalent work experience in lieu of degree) Skill Set Required Experience using basic analytical tools such as R, Python, SQL, SAS, Adobe, Alteryx, Knime, Aster Experience using visualization tools such as MicroStrategy VI, Power BI, Tableau Secondary Skills (desired) Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, Adobe, TM1, Alteryx, Knime, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2) Experience working with big, unstructured data in a retail environment Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc. Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny Programming experience using tools such as R, Python Data Science experience using tools such as ML, Text mining Knowledge of SQL Project management experience Experience in home improvement retail 1 year of experience in digital analytics implementation using enterprise grade tools such as Adobe Dynamic Tag Management (DTM), Google Tag Manager (GTM), Tealium, Ensighten, etc. (specific to the Digital Analytics Implementation role) Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Financial Analyst What Makes Us, Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US The Financial Data Operator is responsible to perform the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABTS/MBS, OTS Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements. Furthermore, this role is responsible for answering client questions and conduct all necessary data analyses of financial instruments data to resolve service delivery incidents to continue service delivery. The role is also responsible to adhere to all relevant operational risk as well as data governance and quality frameworks. Eventually, this role also requires demonstrating very client-focused mindset, substantial know- how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and provide coaching to other members. What You Will Be Responsible For Performs all daily service deliverables in terms of collecting, composing, controlling, and distributing financial instrument data according to effective client SLAs Execution of all quality checks part of the service scope and strict adherence to existing runbook(s) as well as data quality and governance frameworks and conduct first data analysis in case of unexpected data behavior Resolve all data questions, service requests and requested audit support raised by clients in a timely and professional manner to ensure customer satisfaction and SLA compliance Perform all necessary tasks to comply existing operational risk frameworks (e.g., Sarbanes– Oxley Act (SOX), Risk and Control Engine (RACE) etc.) Efficiently support and contribute to continuous improvement of operational processes (with predominant focus on manual processes, high-risk areas), data quality checks and system functionalit Work with local/regional clients to identify specific requirements, special data treatment or any other client demands which need to be delivered as part of the service scope Experience working cross-organizationally with both Business and Technology groups. Perform continuous know-how exchange between the different Data Operations teams in terms of processes, incidents, documentation, or other open topics to avoid know-how silos/gaps and assure service level consistency Monitor and report any kind of issues along the data supply chain including but not limited to interface issues, missing data files or interrupted business processes and trigger the necessary resolution processes to ensure service delivery continuation Maintain documentation in terms of business processes, functional descriptions, operational runbooks, or other manuals to ensure information transparency and enable know-how transfers What We Value For the Financial Analyst position, we value MUST HAVE: Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 5+ years Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, Swaps, especially complex instruments like ABS/MBS, index linked bonds, and syndicated loans. Bachelor’s degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 years Experience of data integration on any EDM platform, 4-5 years Applying operational data management and data governance, 2-3 years Process design and engineering experience, 2-3 years Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now Salesforce, etc., 4-5 year GOOD TO HAVE : Ability to troubleshoot technical glitches in existing data process and coordinate with Technology team to resolve. Experience in developing process automation, improvements, and streamlining using tools like KNIME, Alteryx, Excel VBA with scripting on programming language such as Python, PowerShell including intermediate knowledge of SQL Benefits Competitive salary, bonus scheme, and pension are essential for any work agreement. However, at SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an excellent work-life balance: flexible work hours, a hybrid workplace model. On top of that, we have IP sprints; where you have 3 weeks per quarter to spend on mastering your skills as well as contributing to the company development. There is never just only one route - we practice an individual approach to professional development to support the direction you want to take. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com), If you are interested in being a part of Simcorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. Who We Are For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general. Simcorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients. Simcorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.