175 Knime Jobs - Page 6

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 16,700 stores in 31 countries, serving more than 9 million customers each day. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About the Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3–4 years of relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) #LI-DS1

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. 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 for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact As a Capabilities and Insights Analytics (C&I-A) Analyst at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs. You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members. While we advocate for using the right tech for the right task, we often leverage the following technologies Python, SQL, PySpark, Kedro, Tableau, KNIME and more. As a C&I Analytics analyst, you will Solve the hardest business problems with our clients in multiple industries worldwide while leading research and development of state-of-the-art analytical and automation models Play a leading role in bringing the latest advances in business intelligence, data engineering, AI to our clients, collaborating with industry executives and QuantumBlack experts to find and execute opportunities to improve business performance using data and advanced analytical models Work with clients closely to understand the business needs and set up end to end analytical models to help them harness the power of data using business intelligence and analytical tools Work with QuantumBlack leadership and client executives to understand business problems and map them to state-of-the-art analytics and AI solutions Work closely with other data scientists, data engineers, machine learning engineers and designers to build end-to-end analytics solutions for our clients that drive real impact in the real world Perhaps most importantly, you will work in one of the most talented and diverse analytics teams in the world You will work with other data scientists, data/ML engineers, BI experts, designers, project managers and business subject matter experts on interdisciplinary projects across various industry sectors to enable business ambitions with data & analytics. Who You Are You are a highly collaborative individual who can lay aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Our Tech Stack While we advocate for using the right tools for the right task, we also take into account client’s current landscape and preferences. Often, we use Microsoft Fabric (including Excel -VBA, PowerQuery), Python, PySpark, Tableau, PowerBI, SQL, NoSQL databases and more). We also leverage no code data processing tools such as Tableau Prep, KNIME, etc. along with cloud platforms for data processing. Your Qualifications and Skills Bachelor's or master's level in Computer Science, Engineering, Applied Mathematics or related fields with an excellent academic record 2-5 years of deep technical experience in Microsoft Fabric, Tableau or PowerBI, Python and SQL. Exposure to no-code tools for data processing would be an advantage. Advanced programming expertise and ability to write clean, maintainable, scalable and robust code in Python, and SQL in a professional setting Proven application of building business algorithms/scenario, planners/simulation engines to solve business problems a must Knowledge in Engineering standards, QA/Risk Management Good presentation and communication skills, with a knack for explaining complex analytical concepts and insights to technical as well as non-technical audiences Client-facing skills e.g. working in close-knit teams on topics such as data engineering, machine learning Willingness to travel to both domestic and international destinations Show more Show less

Job Overview: Position Name: Faculty, Wadhwani Center for Government Digital Transformation (WGDT) Work Location: Delhi About Wadhwani Foundation ( www.wfglobal.org ): Mission : Accelerating economic development in emerging economies through high-value job creation Objectives: Enabling the creation of 10M jobs and placement of 25M by 2030 across 20-25 emerging economies Wadhwani Foundation is a not-for-profit with the primary mission of accelerating economic development in emerging economies by driving large-scale job creation through entrepreneurship, innovation and skills development. Founded in 2000 by Silicon Valley entrepreneur, Dr. Romesh Wadhwani, today the Foundation is scaling impact in 25 countries across Asia, Africa, and Latin America through various Initiatives. More details on the various programs at the end of the document. Job Description: Learning Strategy & Subject Matter Expertise Work in conjunction with the WGDT Academy team to decide subject matter and the best methodologies for training the target audiences (central and state government bureaucrats) Create the content on Emerging Technologies such as data science, machine learning, computer vision, natural language processing, Generative AI for a senior audience of government officials with relevant social sector examples and use cases. Help formulate case studies using no/low code tools for senior policymakers. Review the learning content as designed by the Curriculum designer to ensure accuracy and depth from the subject matter perspective Research, produce and deliver high-quality learning assets like training decks, facilitator guides, learner guides, assessments, and other supporting content Learning Delivery Demonstrate strong teaching skills for a senior audience in both a classroom and virtual classroom environment and be able to modify teaching styles accordingly Manage multiple teaching projects simultaneously and liaise with the stakeholders to execute course requirements Take full responsibility for assigned cohorts from a classroom set up, to group assignments, to learning intervention, and then on to data collection on usage, assessment, quality, feedback, etc. Be able to collate and illustrate points using the flipped classroom and case study methodology, as per the major requirements of adult learning Identify and address individual learner requirements so that there is “no student left behind”, which includes follow-ups for assignments, assessments, and feedback to and from learners Demonstrate excellent stakeholder relationship management skills Use all modern communication tools like Teams, Zoom, or other learning platforms as might be required She/he has experience in both in-person and online training for a senior audience. Requirements You have at least 7 years of experience You have at least 3 years of experience in the emerging technology as trainer (freelance or full time) You possess awareness and deep knowledge of the subject area including latest analytics based technologies You can instruct senior-level learners, with a talent for effectively engaging adult students of diverse ages and backgrounds. You have competency in teach technical subjects to a non-technical audience, using simple language and avoiding excessive jargon. Work in governance and policy will be an asset but is not essential Effective verbal communication skills Technical skills: o Expert level knowledge of one or more of the Emerging Technologies such as data science, machine learning, computer vision, natural language processing, Generative AI and large language models o Knowledge of a no/low code tools like Orange/Knime is helpful (but not essential) o Knowledge of Python/ R is helpful (but not essential) o Ability to handle and engage a heterogeneous participant base with maturity o Experience in using and creating content for Virtual Learning platforms, MOOCs o Experience in building new case studies, use cases and assessments in emerging technology areas o At least a Bachelors’ degree Bachelors in Technology / Masters in Technology

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together. Responsibilities Requirement gathering and evaluation of clients’ business situations in order to implement appropriate analytic solutions. Designs, generates and manages reporting frameworks that provide insight as to the performance of clients’ marketing activities across multiple channels. Be the single point of contact on anything data & analytics related to the project. QA process: Maintain, create and re-view QA plans for deliverables to align with the requirements, identify discrepancies if any and troubleshoot issues. Prioritize tasks and proactively manage workload to ensure timely delivery with high accuracy. Active contribution to project planning and scheduling. Create and maintain project specific documents such as process / quality / learning documents. Should be able to drive conversation with team, client and business stake holders Qualifications 3-5 years’ experience in data management and analysis in Media or relevant domain with strong problem-solving ability. Strong working knowledge with Data management. Strong working knowledge of SQL skills with good Python Capabilities. Exposure on ETL capabilities like Alteryx, SSIS, Informatica, knime. Advanced Excel will be mandate Visualization skills in Tableau/Power BI/Looker Studio and storytelling capabilities mandate skills Media domain Knowledge is good and Alteryx are good to have skills. Strong knowledge on the media metrics, custom calculations, cloud exposure and metrics co-relation is good-to-have Ability to identify and help determine key performance indicators for the clients. Strong written and verbal communication skills. Familiarity working with large data sets and creating cohesive stories. Able to work successfully with teams, handling multiple projects and meeting timelines. Maintaining positive client and vendor relationships. Presentation skills using MS Power Point or any presentation platforms Show more Show less

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 16,700 stores in 31 countries, serving more than 9 million customers each day. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3–4 years of relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) Show more Show less

Job Title Quality Assurance Lead, AVP Role Summary & Role Description The candidate must have minimum 15 years and above experience in Financial Services, IT or relevant industry. This role is for a Senior Quality Assurance lead automation/functional tester. This role requires data validation on a complex Data Warehousing platform. Experince in Azure cloud and Snowflake is mandatory. Experience on Oracle/SQL Server is mandatory. Experience in Selenium using Java is mandatory. Minimum 15 years and above of experience in quality assurance role. Excellent understanding and hands on experience in ETL/DWH testing. Hands on experience on SQL (Analytical Functions and complex queries), SQL developer and TOAD. Good understanding of DevOps ecosystem and tools like GitHub, Jenkins and Maven. Should have excellent knowledge in SDLC process -include creating, maintaining and executing automation/functional test plans, writing test scripts against software platforms, communicating test results, defect tracking and participating in day to day QA activities. Experience In Financial/Banking Domain Is Required. Experience in Selenium using Java is mandatory. Experince in Azure cloud and Snowflake is mandatory. Knowledge of test methodologies and their corresponding tools- like Jira, RTC…etc. Should have good understanding of Agile methodology and Agile Ceremonies. Experience with following tools are required: Squirrel, Toad, RTC, MS Office Tools - Excel, Access, Power Point, Project and Word, SQL Developer, Unix KSH and BASH. Experience in creating and executing automation script using Java. Ability to work both independently as well as within a team. Work with geographically distributed teams while maintaining highest standard in collaboration and communication across the QA/DEV and Business teams. Excellent verbal and written communication skills. Person must be self-motivated, self-driven, own and consider him/herself accountable for timely completion of QA deliverables. Strong problem-solving skills with great attention to details. Experience with Knime will be an added advantage. Core/Must Have Skills Automation testing, Functional testing. Selenium, Java, Azure cloud, Snowflake, Oracle Good To Have Skills Exposure to AI Work Schedule 11:00 AM – 8:00 PM (INSHIFT – 2) Keywords (If any) Job ID: R-772987 Show more Show less

Job Requirements Education: Bachelors degree (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS/M.Tech in Computer Science or related field) Experience: 5–7 years in a Data Science/Advanced Analytics role Behavioral Skills: Delivery Excellence Business Orientation Social Intelligence Innovation and Agility Knowledge & Technical Skills: Functional analytics experience (Supply Chain, Marketing, Customer Analytics, etc.) Statistical modeling using tools such as R, Python, KNIME Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Experience building and evaluating machine learning models MLOps tools and practices (MLflow, DVC, Docker, etc.) Strong Python programming (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Experience with big data technologies (AWS, Azure, GCP, Hadoop, Spark) Familiarity with relational (MySQL, SQL Server) and non-relational (MongoDB, DynamoDB) databases BI and reporting tools (Power BI, Tableau, Alteryx) Proficiency with Microsoft Office applications (especially Excel) Roles & Responsibilities Analytics & Strategy: Analyze large-scale structured and unstructured data to develop insights and machine learning models across various business domains Apply statistical and machine learning techniques to generate value from operational, financial, and customer data Recommend best-fit algorithms and models with clear justifications for business use Leverage cloud platforms for modeling and big data analysis; utilize data visualization tools to communicate results Operational Excellence: Follow industry-standard coding practices and development lifecycles Formulate hypotheses, develop analytics frameworks, and bring structure to complex problems Collaborate with Data Engineering to maintain core data infrastructure and automate analytical processes Stakeholder Engagement: Work cross-functionally with business stakeholders, engineers, and visualization experts to deliver impactful projects Communicate complex models and results to non-technical stakeholders in a clear and compelling way

Job Description: 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. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Description 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. Show more Show less

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Person in this role will have to talk to different tech and functional teams across globe. We have teams in different LATAM countries, US, Mexico, and India. He/ She should be available mostly during the second shift supporting Indian timings and should be able to attend calls during the first half of US Time zone. Minimal interaction with external clients. Qualifications: Must Have: 8+ years of application/software development/maintenance 5+ Years of experience on Big Data Technologies like Apache Spark, Hive, Hadoop is must. Knowledge of Scala, Java & Python programming language. Experience on any two languages is mandatory. Experience with JAVA (Core Java, J2EE, Spring Boot Restful Services), Web services (REST, SOAP), XML, Java Script, Micro services, SOA etc. Strong technical knowledge of Apache Spark, Hive, SQL, and Hadoop ecosystem Experience with developing frameworks and utility services including logging/monitoring. Experience delivering high quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Sonar, etc.). Experience creating large-scale, multi-tiered, distributed applications with Hadoop and Spark Profound knowledge implementing to different data storage solutions such as RDMBS(Oracle), Hive, HBase, Impala and NO SQL databases like MongoDB, HBase, Cassandra etc. Ability to work independently, multi-task, and take ownership of various analyses or reviews. Has to be results-oriented, willing and able to take ownership of engagements. Banking domain experience is a must. Strong analytical and communication skills Good to Have: Work experience in Citi or Regulatory Reporting applications. Hands on experience on cloud technologies especially around data engineering Hands on experience on AI/ML integration and creation of data pipelines Experience with vendor products like Tableau, Arcadia, Paxata, KNIME is a plus Experience with API development and use of data formats is a plus Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Java Spark: Strong technical knowledge of Apache Spark, Hive and Hadoop ecosystem Knowledge of Scala, Java & Python programming language. Hands-on experience on any two languages are mandatory. Minimum 2 product, platform or solution technical delivery experience Experience delivering high quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Sonar, etc.). Experience creating large-scale, multi-tiered, distributed applications with Hadoop and Spark Comfortable in Windows and Linux environments. Comfortable with different data storage solutions such as RDMBS(Oracle), Hive, HBase, Impala etc. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Roles and Responsibilities We are Hiring for the role of Business Analyst for the company name Procter & Gamble Home Products Pvt. Ltd. formerly known as P&G, based in Mumbai. You'll be hired on the payroll of Ashkom Media India Pvt. Ltd. Kindly go through the attached JD and if interested revert me back with your feedback and updated resume. Designation: Business Analyst Location: Remote (WFH) Experience: 1-3 years Contract- 6 Months Working Days- 5 days work week; General Shift 9.30 am 5.30 pm Key Responsibility Coordination with Project Vendor Team, Regional Distributor Team, and internal P&G team for project expansion-related activities, including: 1. Publishing daily/weekly/monthly reports on assigned region performance to key stakeholders via mail 2. Multiple weeklies Connects with the regional distributor Sales team to understand key issues being faced on the ground during the expansion time period 3. Connecting with the troubleshooting team, Project IT team to convey the issues being faced 4. Connecting with the internal P&G team to share progress on Project Goals assigned 5. Support on Project related management matters. Key competencies Skill Required- 1. Proficient in MS Excel prior experience in Basic formulas /Pivot/VLookup/Xlookup/KNIME workflow can work with large data sets in Excel 2. Good Communication Skills: English and Hindi; required to coordinate with the regional and internal teams over multiple calls / emails.

Job Summary: We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Key Responsibilities: Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization. Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Must-Have Skills & Qualifications: Minimum 4 years of professional experience in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation & Automation: Alteryx, Trifacta, KNIME AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn Workflow Orchestration: Apache Airflow, Prefect Preferred Qualifications: Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads. To apply, please send your resume to sooraj@superpe.in or shreya@superpe.in SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you! Show more Show less

AECOM is seeking a mid-level Environmental Database Manager with a minimum of 6 years of experience to support our enterprise environmental data management system (EarthSoft EQuIS). The ideal candidate will have a strong understanding of environmental data and terminology, good communication skills, and the ability to collaborate with both technical and non-technical stakeholders. This position will offer a hybrid work arrangement to include both office and remote work schedules and will be based from our office located in Bengaluru, India. This role includes, but is not limited to, the following activities: Responsibilities: The ideal candidate will beable to understandrequests fromenvironmental subjectmatter experts. Gather, organize, and validate field data from environmental monitoring activities such as air, soil, and water quality assessments. Manage field and analytical data in relational database systems like EarthSoft EQuIS, Locus EIM or other environment databases. Conducting QA/QC for electronic data deliverables with laboratory analytical data to ensure quality. Generating standardized report outputs through software tools like EQuIS or EIM. Prepare environment data summaries and compliance reports for submission to regulatory agencies. Utilize statistical tools and predictive modeling techniques to assess environmental impacts and forecast trends. Design and create dashboards and visualizations using platforms such as Power BI or EQuIS Enterprise. Ensure data meets reporting standards and guidelines set by local, state, and federal authorities. Responsible for generating Borelogs through multiple platforms like gINT, open source or EQuIS. Supporting legacy data migrations to EQuIS/EIM as needed, ensuring proper formatting and compatibility. Collaborate with stakeholders, project managers, and team members, to achieve project objectives efficiently. Provide technical support to field sampling teams and act as a liaison between the project staff, analytical laboratory, data validator, and GIS analysts. Research state and federal regulations necessary to manage action levels or clean-up criteria. Qualifications Qualifications: Bachelors degree in environmental engineering, environmental science, or related discipline and 6+ years of relevant experience in environmental data management or consulting, with hands-on experience in EQuIS, LOCUS, EIM, ESDAT, or similar databases or demonstrated equivalency of education and/or experience. Skills Required: Expertise and experience with environmental data and database systems (MS SQL Server, MS Access). Expertise with relational databases such as EarthSofts Environmental Quality Information System (EQuIS) /EIM/ ESdat. Ability to continually analyze data at all stages for problems, logic, and consistency concerning field data collection, analytical reporting, and other expertise on EQUIS sub-tools (Collect, Edge, ArcGIS highly desirable but not essential). Assist projects globally and task delivery with high quality and within deadlines. Managing data (geological, Field data, chemical laboratory data) for technical report writing and interpretation as required by the team. Maintaining and updating various project dashboards using the web-based EQuIS Enterprise system; and preparing report-ready data tables, charts, and figures for internal review and external client reports. Project management duties include coordinating field events. Using the sample registry and Sample Planning module create EDDs and load to EQuIS to track event closure. Proficient in EQuIS collect Module, create and deploy different categories of forms and train field personnel on the same. Expert level understanding of Office 365, Excel, power query & Power automation. Should be good in Documentation including Data Management SOPs, Process Maps, Work instructions, Activity Analysis, Task effort estimation Use of visualization tools like Power BI to help management to make effective decisions for the environmental domain is desirable but not essential Knowledge of digital tools like Power BI, R Studio, KNIME Analytics, Python is a plus but not mandatory. Strong organizational skills, with experience prioritizing, time management and managing multiple tasks. Effective communication skills to interact with multidisciplinary teams and clients. Expertise in applying Six-Sigma techniques/analysis to the environmental data management process. Strong attention to detail with excellent analytical, judgment and problem-solving capabilities. Comfortable running meetings and presentations Preferred Qualifications: Masters degree in environmental engineering, Environmental Science, or a related discipline. Min 6 - 10 years of relevant experience in environmental data management or consulting, with hands-on experience in EQuIS, LOCUS, EIM, ESDAT, or similar databases or demonstrated equivalency of education and/or experience. Additional Information About AECOM AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com. What makes AECOM a great place to work You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, youll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career youve always envisioned. Here, youll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it.

Job Summary Alteryx Professional Exp - 8 -15 Yrs Location - Pan India Location Minimum 8 to 10 years of experience working as an IT Application Support or Systems Analyst in a large enterprise. Proficient in designing and implementing Alteryx workflows, data blending, data preparation and analytics. Experience in other software such as KNIME, Dataiku, Power BI, Tableau, Qlik Sense is a plus. Experience on cloud technologies: Azure, Google Cloud, Databricks; Windows File server management, Networking, MSSQL, MongoDB, Python, R Experience on DevOps/Terraform, GitHub Knowledge on BAU operations, incident management, service request management and change request management processes. Ability to support complex critical application systems in a production environment. Strong technical and troubleshooting skills with attention to detail. Ability to work independently. Show more Show less

Job Purpose and Impact The Team Manager will oversee routine operations of the end to end record to report processes. In this role, you will build and develop a team, oversee decision making and problem solving, collaborate with stakeholders to influence and drive change, monitor and review key performance indicators and metrics and lead specific projects to drive efficiency. This role will support APAC region hence the shift will be 6:30 AM to 3:30 PM Key Accountabilities Key Accountabilities Facilitate stakeholder management by building robust, credible business relationships with key partners and stakeholders and building communication plans to keep teams all working toward the same goal. Should have Indian Accounting Knowledge and worked under India Accounting process/ audit support experience as well Lead an operational Record To Report team delivering accounting and financial reporting services. Drive completion of balance sheet reconciliations Focus on driving quality with a view towards robust performance management, stakeholder feedback and active metrics management. Leverage business and accounting principles and practices for the review and analysis of financial statements to ensure accuracy and compliance. Support an internal control environment within finance including risk mitigation and the total compliance of all the operations and services according to internal and external regulations. Partner and align with the process strategy by closely working with the Record To Report management team, process architects and regional leadership. Other duties as assigned Responsible for personnel decisions related to hiring, performance and disciplinary actions for your direct reports. You will also spend time completing the same tasks as employees on your team. Qualifications Minimum Qualifications Master degree in a related field or equivalent experience Manage stakeholders in regional and global environments with extensive experience working in a diversified industry environment Progresses productively under conditions of change and ambiguity and defend the vital changes in the organization helping others prepare for the impact and acceptance of such changes Accounting experience in finance operations work with extensive knowledge in Record to Report and related processes Minimum 5 year of directly related work experience Five years of supervisory experience Preferred Qualifications Experience in reporting tools – Power BI, Knime Experience on Indian Accounting process and Audit Support Advanced data analytical skills using financial ratios Fluent in English with clear, consistent and purposeful communication Strong knowledge of US GAAP accounting principle Show more Show less

Job Title – Ind & Func AI Value Strategy Consultant S&C GN Management Level: 09 - Consultant Location: All locations Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network : - Accenture Strategy & Consulting Global shapes our clients’ future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHAT’S IN IT FOR YOU? You’ll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What You Would Do In This Role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for? Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelor’s or master’s degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE Show more Show less

About Us : BanyanTree Foods is a fast growing wholesale platform that is starting to revolutionise Asian Food & Drink in UK & Europe - to make it quality driven in range and rooted in solutions & services. With multiple award winning products & ingredients, it supports the requirement of a wide range of customers today. CST in Bangalore provides varied functions and insights, as a core part of the operational team, to support the customer requirements in UK & Europe. Responsibilities : · Develop a holistic understanding of the different areas / channels of the business. · Should be technically proficient to understand the data, cleanse the data and translate the data from different sources to create meaningful, actionable insights for management. · Should ensure the data across all key systems is relevant and accurate. Perform periodic quality checks and cleansing activities. · Should handle overall demand forecasting and planning across all channels of the business and assist in preparing the shipment orders. · Should handle marketplaces data and analytics, including but not limited to 1. Optimising product listings for better visibility. 2. Ensuring A+ content is accurate across all listings. 3. Inventory forecasting for replenishments. 4. Sending replenishments to marketplaces 5. Analysing sales data to identify growth opportunities. 6. Increasing ROAS by utilising different campaign strategies. · Should handle website data and analytics , including but not limited to 1. Optimising product listings for better visibility. 2. Regularly review and suggest improvements to website UI /UX and design. 3. Analyse sales data to identify growth opportunities. 4. Review and maintain a robust SEO strategy for better visibility in searches. · Document business processes, data flow and architecture for systems and data. · Prepare and present KPI dashboards /reports to the management at the start of every month. · Contribute towards Ad-Hoc Projects etc discussed in the team meetings. · Candidate should think creatively, innovate and become the subject matter expert in their space. Drive automation of new and existing processes to bring in efficiencies. Who will love this role: We see this individual as someone spirited to work diligently with the founding team of a growing start up initially, and can bring the below skills & expertise · The candidate should be passionate about delivering creative business improvements and solutions by taking a technical perspective. · Bachelor’s degree in engineering, technology, quantitative science or business analytics · Minimum of 2-3 years of relevant experience in IT and data driven projects as a Data science / Tech / Business Analyst. · Hand on experience of working with data analysis tools such as Knime, Excel, Alteryx, Power BI, Tableau, Excel Macros & VBA Programming · Knowledge of MS Access, SQL · Knowledge of digital marketing techniques is a plus. · Digital B2B or E-commerce experience is a plus. · Must be a self-starter and can manage their tasks independently without supervision. · Must be naturally good at solving problems and work as a team player. · Display Strong communication, analytical, critical-thinking, and presentation skills · Must have highest degree of accuracy with a strong attention to detail · Well organised with an ability to manage multiple projects with strict deadlines · Good project management skills, from initial idea through execution. Show more Show less

Solenis is a leading global producer of specialty chemicals, delivering sustainable solutions for water-intensive industries, including consumer, industrial, institutional, food and beverage, and pool and spa water markets. Owned by Platinum Equity, our innovative portfolio includes advanced water treatment chemistries, process aids, functional additives, and state-of-the-art monitoring and control systems. These technologies enable our customers to optimize operations, enhance product quality, protect critical assets, and achieve their sustainability goals. At our Global Excellence Center (GEC) in Hyderabad , we support Solenis’ global operations by driving excellence in IT, analytics, finance, and other critical business functions. Located in the heart of the IT hub, the GEC offers a dynamic work environment with strong career development opportunities in a rapidly growing yet stable organization. Employees benefit from world-class infrastructure, including an on-campus gym, recreation facilities, creche services, and convenient access to public transport. Headquartered in Wilmington, Delaware, Solenis operates 69 manufacturing facilities worldwide and employs over 16,100 professionals across 130 countries . Recognized as a 2025 US Best Managed Company for the third consecutive year, Solenis is committed to fostering a culture of safety, diversity, and professional growth. For more information about Solenis, please visit www.solenis.com. 🚨 We're Hiring: Lead Analyst - I 📍 Location: Hyderabad India – Hybrid 🕒 Full-Time | Permanent Position What You’ll Do This position will be part of the Commercial Analytics Hub. Leverage data analytics and data mining skills to deliver insights for the commercial organization that drive revenue increase, profitability improvement and margin expansion globally. Reporting to Analytics manager, the lead analyst will be responsible and accountable for all quantitative analysis in the areas below: Core Responsibilities Strong Tableau Reporting & Analytics modelling Use Big data techniques to analyse the financial / Marketing / Product data Create data base management architecture to handle the big data and enable the other analytics Create Tableau reports and provide best practices in managing the reports Understand the business objectives, do the research, structure the ML/AI models and derive actionable insights which focus on areas like Target setting and Revenue and Volume forecasting Price optimization, Price/Cost forecasting Customer Segmentation Price leakage, elasticity and GBB matrix Automation and optimization: - Automate the analytical models leveraging R/Python/SQL or other tools such as Power Automate / KNIME. Research on approach and test models to reduce the manual intervention Optimize the analytics processes to improve efficiency Leadership skills: - Responsible for the task management for the projects. Lead 1-2 analysts for operational management. Guide and groom the analysts Multi-tasker who has ability to manage changing prioritization and multiple project requests What We Offer Competitive health + wellness benefit plan Gym or fitness centre on site, free for Solenis employees/access to external gym membership Free parking on site Staff hangout spaces Continuous professional development with many opportunities for growth Access to a wide variety of internal and external training courses on our learning system Access to self-paced language training on our learning system (free) No-meeting Fridays Competitive Salary and bonuses Relocation assistance available Hybrid work arrangement eg. 3 days in office Remote work arrangement We understand that candidates will not meet every single desired qualification. If your experience looks a little different from what we’ve identified and you think you can bring value to the role, we’d love to learn more about you. This is a fantastic opportunity to build your career with a company who are experiencing rapid growth. Come work with us at Solenis, where you can build a career that makes a difference. At Solenis, we understand that our greatest asset is our people. That is why we offer competitive compensation, and numerous opportunities for professional growth and development. So, if you are interested in working for a world-class company and enjoy solving complex challenges, consider joining our team. At Solenis, we understand that our greatest asset is our people. That is why we offer competitive compensation, comprehensive benefits which include medical, dental, vision & 401K, and numerous opportunities for professional growth and development. So, if you are interested in working for a world-class company and enjoy solving complex challenges, whether in the lab or the field, consider joining our team. Solenis is proud to be an Equal Opportunity Affirmative Action Employer, including Minorities / Women/ Veterans / Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Should you require assistance in applying to this opportunity, please reach out to Solenis Talent Acquisition at talentacquisition@solenis.com. . Show more Show less

Skills This position will be part of the Global Analytics Hub within FP&A. Leverage data analytics and data mining skills to deliver insights for the commercial organization that drive revenue increase, profitability improvement and margin expansion globally. Reporting to Analytics manager, the analyst will be responsible and accountable for all quantitative analysis in the areas below: Creating analytical models Understand the business objectives, work with Lead to structure the model and deliver outputs which focus on areas like Price / Product portfolio optimization Identification of profit increase opportunities: price change, Cost reduction, product mix change etc. Price / PPV / Pipeline forecasting Price leakage, elasticity, variance analysis Automation and optimization Automate the analytical models leveraging R/Python/SQL or other tools such as Power Automate / KNIME. Performance monitoring and reporting Create automated dashboards for functional stakeholders, regional / global leaders and CXOs. Perform analysis for regular reporting of organizational performance (pricing, product, procurement etc.) Qualifications Bachelor’s degree in Engineering. MS or Certificate courses in analytics preferred. 0-2 years of relevant quantitative analytics experience (hands-on or via projects). Knowledge of advanced analytics methods and ability to analyze data Strong knowledge and experience of analytical tools like R, SQL, Excel, Tableau, Python. Strong online collaboration capabilities – voice, video and web conferencing, instant messaging and other tools. Understanding of data science principles and machine learning Show more Show less

Job Location HYDERABAD OFFICE INDIA Job Description About Procter & Gamble: For over 180 years, P&G has created some of the world’s most successful brands, including Ariel®, Tide®, Pantene®, Pampers®, and Gillette®. We believe in serving the consumer and ensuring our organization, talent and brand building reflects the diversity and needs of the approximate 5 billion people around the world we serve through our brands. We value leadership as well as mastery and offer fulfilling career opportunities that make us an unbeatable force in our industry. WHAT YOU WILL BE DOING? Responsibilities Execute the supply planning process of inventory planning, requirements planning, production planning, and material planning Develop and maintain finished goods inventory targets by SKU based on service level objectives, forecast error, and replenishment lead times Deliver KPIs such as customer fill rate, Inventories and cost targets Key interface between Stock replenishment, operations, and logistics Identify, resolve and escalate supply chain situation/risk like manufacturing performance, material shortage or demand surge Manage projects that impact the supply chain, such as new product launches or capacity expansions Participate in cross-functional teams to develop and implement continuous improvement initiatives Job Qualifications Experience and qualification Strong Supply Chain understanding – Norms, Inventory Mgmt, Initiative management etc Prior experience in SAP APO, ECC (MM, PP or SD modules) Proficiency with Microsoft office tool suite (Excel, Word and Power point) Must Demonstrate ability to communicate professionally in English, both written and orally, to wide variety of audiences Effective working in a matrix organization and multi-level stakeholder management Excellent problem-solving and analytical skills – and able to understand and interpret data Nice to have Prior knowledge of digital tools e.g. Power BI, KNIME, RPA FMCG experience is a plus What we offer: Meaningful Work: A chance for everyone to lead something meaningful that directly contributes to the organization and the business. Continuous Mentorship – you will collaborate with hardworking peers and receive both formal training as well as day-to-day mentoring from your manager. A positive, encouraging, and safer work environment – employees are at the centre; we value and respect every individual with Just so you know: At P&G, we are committed to providing equal opportunities. We value diversity and do not discriminate against people on any basis, such as, but not limited to, religion, colour, nationality, gender, sexual orientation, age, marital status or disability. Here we always do the right thing, we have strong and indispensable values or the whole conduct of our business. Come be part of our team! Attachments Job Schedule Full time Job Number R000111915 Job Segmentation Experienced Professionals (Job Segmentation) Show more Show less

About Lowe’s Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where 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 and helping to develop the next generation of skilled trade experts. About Lowe’s India At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market. About The Team The pricing Analytics team supports pricing managers and merchants in defining and optimizing the pricing strategies for various product categories across the channels .The team leverages advance analytics to forecast/measure the impact of pricing actions , develop strategic price zones , recommend price changes and identify sales/margin opportunities to achieve company targets . I. Job Summary The primary purpose of this role is development and maintenance of descriptive and predictive analytics models and tools in support of Lowe's pricing strategy. Working closely with the Pricing Analytics & Insights team, the analyst will assist in translating pricing goals and objectives to the underlying data and analytics requirements. Using open source and commercial software tools for data science, the analyst will gather and wrangle data to deliver data-driven insights, trends, and anomalies to develop the most appropriate statistical and machine learning techniques to answer relevant questions and provide retail recommendations. The analyst will actively collaborate and partner with other technical and non-technical teams to incorporate feedback at various stages of development to drive continuous improvement with the goal to be best-in-class position in the pricing space. Core Responsibilities II. Roles & Responsibilities: The primary purpose of this role is development and maintenance of descriptive and predictive analytics models and tools in support of Lowe's pricing strategy Support translation of business goals and objectives into analytics requirements. Design and develop processes to gather, explore, structure, enrich, and clean large datasets from various internal and external sources. Perform data validation, outlier detection, and root cause analysis to prepare inputs for statistical and machine learning models. Research, design, and develop applicable statistical and machine learning approaches for specific business problems. Assess the quality of model output to identify meaningless results and investigate root cause through detailed analysis of data inputs and code. Develop scalable retail test processes and frameworks for design of experiment, A/B testing, baseline development, assessment, and recommendations. Collaborate and partner with Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to scope out, prioritize, and develop innovative capabilities. Convert mundane manual process in to automated ones III. Years Of Experience 3-6 years of relevant experience IV. Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s or Masters in Engineering/business analytics/Data Science/Statistics/economics/math V. Skill Set Required Primary Skills (must have) 3+ Years of experience in advance quantitative analysis and statistical modeling Ability to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, Predictive Modelling 3+ years’ experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management 3+ years’ experience working with common analytics and data science software and technologies such as SQL, Python, R, or SAS 3+ years’ experience working with Enterprise level databases (e.g., Hadoop, Teradata, Oracle, DB2) 3+ years’ experience using enterprise-grade data visualization tools (e.g., Power BI , Tableau) Secondary Skills (desired) Technical expertise in Alteryx, Knime, GCP,Azure 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. Show more Show less

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 16,700 stores in 31 countries, serving more than 9 million customers each day. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 5–7 years of relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) Show more Show less

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Qualification & Experience: BS/MS/B. Tech/M. Tech degree in Engineering, Environment, or a related subject 6-8 years of experience as an Environmental Consultant or similar role Experienced in environmental databases like Locus EIM, EQuIS, ESdat, ENFOS Intermediate level understanding of Office 365, Excel, Microsoft SQL Server management studio (SSMS) Knowledge in digital tools and languages like R Studio, Python, KNIME and Power BI are a plus. Principal Duties & Key Responsibilities: Performing and managing the environmental data management and data reporting on environmental databases like Locus EIM, EQuIS, ESdat and ENFOS. Developing and generating the formatted reports, Charts, EDDs, etc Processing data from intrusive site investigations (for example geological logs, chemical laboratory data and geotechnical laboratory data) for presentation and interpretation as required by the Project Manager. Creating SQL queries and KNIME workflows to automate environmental data management and reporting Perform and manage multiple tasks within scope, budget, schedule expectations and ensure quality standards on project deliverables. Identify knowledge gaps and facilitate trainings to the team. Monitor the performance of team members and identifying and ensuring the resolution of any issues. Assist BU Head and Principal consultant on project and/or portfolio delivery with high quality and within deadlines. Fulfilling duties within the Arcadis business management system including the completion of mandatory training, timesheets and other submissions as required. Required Competencies : A good team player with strong communication skills. Proficient in commonly used Microsoft Office 365 apps Able to work independently and demonstrate initiative Strong Organisation skills – ability to work independently and as a team and ensure communications are effective. Strong Technical writing skills Flexibility in working hours Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. Show more Show less

Summary We are looking for a detail-oriented, astute Digital Marketing Analytics Analyst to join our growing organization. You will be tasked with analyzing our digital marketing efforts, identifying trends, uncovering insights and helping shape the strategic direction of our marketing campaigns. Candidates must have 3+ years of overall experience, at least 2-3 years' experience on pharma datasets/digital marketing, good knowledge of data modeling and SQL, and robust technical problem-solving skills. About The Role About the Role: We are looking for a detail-oriented, astute Digital Marketing Analytics Analyst - Omnichannel to join our growing organization. You will be tasked with analyzing our digital marketing efforts, identifying trends, uncovering insights and helping shape the strategic direction of our marketing campaigns. Candidates must have 4-5 years of overall experience on digital marketing, website analytics, good knowledge of data modeling and SQL and robust technical problem-solving skills. Key Responsibilities Expertise in Google Analytics to track website traffic, user behavior, and conversions Knowledge of keyword research, SEO/SEM and basic proficiency in SEO tools (like SEMRush, others) is good to have Knowledge of SQL is essential for querying and manipulating data from databases Proficiency in Excel, Power Query, others is vital for data manipulation, cleaning, and reporting Manage overall digital analytics for multi-channel activations and understand reporting systems to track KPIs and marketing campaign effectiveness across digital marketing datasets Use data analytics to derive an understanding of customer behavior, apply segmentation and predictive methods to improve marketing effectiveness Analyze digital marketing performance across various channels such as Web, Email Marketing, Social Media, Display/Programmatic Banners and Content Marketing, and provide optimization recommendations Interpret data, analyze results, and provide ongoing reports using statistical techniques and tools Assist in the process of designing and implementing key performance indicators and metrics, as well as in the tracking and analysis of these parameters to measure success and identify areas for improvement Create visualizations of data through reports and dashboards to articulate data patterns and trends effectively. Presentation skills is good to have Foundation in statistical concepts, methods, and techniques is good to have for analyzing data and drawing meaningful insights Essential Requirements Bachelor’s degree in marketing, Business, Statistics, or a related field. A master’s degree is preferred Expertise in using web analytics tools (especially Google Analytics, Looker Studio), third-party media, email marketing platforms (SFMC), etc. Strong analytical and problem-solving skills with a high-level attention to detail Exceptional written and verbal communication skills, with the ability to translate complex data into actionable insights Strong ability to think strategically, analyze, and interpret market dynamics and develop key industry insights Proficient in statistical analysis tools (R, Python, or similar) and data visualization tools (Tableau, Excel, Power BI or similar) Ability to work independently and collaboratively in a team environment Desired Requirements Proven Website Analytics experience Proven experience as a Digital Marketing Analyst or similar role Good knowledge on complex SQL, Python, Alteryx or related data management tools Well versed with digital marketing landscape along with experience in working with pharma industry across Commercial and Marketing analytics Use advanced analytics techniques such as A/B Testing, Hypothesis Testing, Supervised and Unsupervised classification techniques to provide data driven optimizations Certification or training in relevant analytics or business intelligence tools is a plus Skills Google Analytics, Looker Studio SQL Advanced Excel Advanced Power point Python (Good to have) Any ETL tools (Alteryx, Knime, DataIKU etc.) Analytical Thinking Digital Marketing Marketing Strategy Problem Solving Statistical Analysis Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. 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 diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message 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 Show more Show less

Summary We are in search of a sharp-minded Senior Analyst to become an integral member of our team. With your 3-6 years of experience in a Business Analyst role, you will focus on analyzing our digital marketing initiatives, uncovering critical trends, deriving insights, and playing a key role in informing the strategic direction of our marketing efforts. We are in search of a sharp-minded Senior Analyst to become an integral member of our team. With your 3-6 years of experience in a Business Analyst role, you will focus on analyzing our digital marketing initiatives, uncovering critical trends, deriving insights, and playing a key role in informing the strategic direction of our marketing efforts. About The Role Location – Hyderabad About The Role: We are in search of a sharp-minded Senior Analyst to become an integral member of our team. With your 3-6 years of experience in a Business Analyst role, you will focus on analyzing our digital marketing initiatives, uncovering critical trends, deriving insights, and playing a key role in informing the strategic direction of our marketing efforts. We are in search of a sharp-minded Senior Analyst to become an integral member of our team. With your 3-6 years of experience in a Business Analyst role, you will focus on analyzing our digital marketing initiatives, uncovering critical trends, deriving insights, and playing a key role in informing the strategic direction of our marketing efforts. Key Responsibilities: Use data analytics to derive an understanding of customer behavior, apply segmentation and predictive methods to improve marketing effectiveness. Analyze digital marketing performance across various channels such as Email Marketing, Field Digital like iCVA and RTE and Content Marketing, and provide optimization recommendations. Analyze complex digital data sets and provide strategic insights to drive business decisions. Develop, maintain, and improve accurate, actionable, and insightful reporting and dashboards. Work closely with cross-functional teams to understand their data needs and deliver reliable, consistent data sources. Conduct extensive business process analysis to identify areas for process improvement and efficiencies. Stay informed on industry trends and developments to advise management on strategies for business growth. Track and report business performance regularly, using findings from data analysis. Clearly communicate data-driven insights to stakeholders and influence decision-making processes. Collaborate with senior management to understand business goals and develop data-driven solutions. Create models to automate processes, increasing efficiency and accuracy. Manage and navigate complex data structures, ensuring data integrity and accuracy. Good understanding of Pharma data, Field activity is preferred. Essential Requirements: Bachelor’s degree in marketing, Business, Statistics, or a related field. A master’s degree is preferred. Expertise in using analytics tools (Qlik, Data IKU or any ETL tool), third party media, email marketing platforms etc. Strong in SQL and usage of advanced excel. Strong analytical and problem-solving skills with a high-level attention to detail. Exceptional written and verbal communication skills, with the ability to translate complex data into actionable insights. Strong ability to think strategically, analyze, and interpret market dynamics and develop key industry insights. Proficient in statistical analysis tools (R, Python, or similar) and data visualization tools (Tableau, Excel, Power BI or similar). Ability to work independently and collaboratively in a team environment. Desired Requirements: Demonstrated experience as a Senior Analyst in a Business Analyst role. Proficient in complex SQL, Python, Alteryx, or equivalent data management tools. Expertise in the digital marketing landscape, with hands-on experience in the Pharmaceutical industry, specifically within Commercial and Marketing analytics. Applied advanced analytics methods such as A/B Testing, Hypothesis Testing, and Supervised and Unsupervised classification techniques for data-driven optimizations. Certification or formal training in relevant analytics or business intelligence tools would be an added advantage. Skills: SQL Advanced Excel Advanced Power point Python (Good to have) Any ETL tools (Alteryx, Knime, DataIKU etc.) Analytical Thinking. Digital Marketing. Marketing Strategy. Problem Solving Statistical Analysis. Commitment To Diversity And Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. 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 diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message. 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 Show more Show less