Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectictly and collborattively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for supervision domain. E.g. Anomaly detection, Global Search Engine, ChatBot, specialized/customized models Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 7 years of software development experience. 2+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3.x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. What additional skills will be good to have? Familiarity with MLOps practices for model deployment and monitoring. Experience working in investment banking domain with exposure trade life cycle, front office controls supervision. Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Java +Talend +Collibra - Manager As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance The opportunity We’re looking for Manager with strong technology and data understanding having proven delivery capability and client experience. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Knowledge and skills requirements: 8-11 years of professional data-related experience 8+ years of Java/Python/UNIX development experience Knowledge of SQL and experience working with large data volumes Experience in Data Integration/Data catalog/Data Controls/Data Analytics, related tools, and frameworks. Ability to learn project or product being developed quickly. Ability to write documentation and procedure for various audiences. Solid organizational skills including attention to detail and multi-tasking skills. Serving as a point of contact for teams when multiple squads are assigned manuals to the same project/deliverable to ensure team actions remain in synergy. Communicating with business lines, build squads, management to keep the project aligned with their goals. Provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress. Excellent time management skills with a proven ability to meet deadlines. Excellent verbal and written communication skills. Excellent interpersonal and customer service skills. Strong understanding of agile development methodologies Additional experience in following areas would be nice to have: Working experience/Knowledge with Data Integration tools is a plus. Working experience/Knowledge with Collibra / Data catalog or any other Metadata Tool is a plus. Working experience/Knowledge with Snowflake is a plus. Working experience/Knowledge with Data Analytics & Reporting Tools (Power BI, QuickSight or any other BI tool) is a plus. Working experience/Knowledge with Data Controls / Data Quality Tools (Ataccama or any other DQ tool) is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. GDS SaT - Associate Director – Turnaround and Restructuring Strategy Within SaT, the TRS services helps clients deal with different forms of threats including economic change, innovation, capital constraints, operational aspects. The EY global network of restructuring professionals, along with our transaction and sector professionals, have experience with some of the largest and most complex in and out-of-court restructuring situations. We work with a variety of stakeholders to provide leadership and actionable advice to identify financial and operational strategies to generate liquidity, improve earnings and extract value across underperforming, stressed and distressed businesses. The opportunity We’re looking for an Associate Director with expertise in Independent Business Reviews, Insolvencies, financial restructuring services and performance improvement to join EY-TRS team. This is a fantastic opportunity to be part of a leading firm and develop your career through a broad scope of engagements, mentoring, and learning & development. Your Key Responsibilities Managing/ reviewing/ getting involved in Independent Business Reviews, Contingency Planning and Restructuring engagements which are advanced and complex in nature Analysing financial and operational results of companies through the preparation of various research by reviewing financial statements Preparing/evaluating financial information - helping in preparing reports and schedules Analysing the financial statements to identify liquidity issues and areas of distress Assisting in identifying opportunity areas for performance improvements Perform qualitative and quantitative research on the markets and/or target companies Write reports to synthesis and present the findings, and study from research Proactively develop new products/services in consultation with EY practices Measure, monitor and improve client service by guiding team members and driving excellence in service delivery Focus teams on the key priorities while managing several medium to large size projects Develop excellent relationships with global stakeholders and be responsible for a high degree of client satisfaction with engagement process and work products Skills And Attributes For Success Candidates with hands on experience of Independent Business Reviews, Financial Restructuring Services, Insolvencies and performance improvement with aptitude for quantitative and qualitative analysis will be preferred Excellent understanding of company, industry, economic research, financial statements and valuations Experience of working with clients in global landscape Ability to determine risks and opportunity areas, assess findings and communicate insights Proven experience in interacting with senior management of clients Excellent problem solving, project management, facilitation skills Excellent people management and interpersonal skills Strong written and verbal communication skills with experience in developing final presentations To qualify for the role, you must have Chartered Accountancy/ MBA in Finance from a tier 1 institute 14 + years of PQE in: Management Consultancy firms, preferably Big 4 or financial firms: McKinsey, Bain, BCG, Deloitte, PwC or KPMG Large Indian corporates with exposure in restructuring activities, analytics, financial modelling and corporate finance role Exposure to IBC or equivalent code Ideally, you’ll also have Project management skills Strong communication and presentation skills What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Work collaboratively with Data Analyst, Data Scientists Software Engineers and cross-functional partners to design and deploy data pipelines to deliver analytical solution. Responsible for building data pipelines, data model, data marts, data warehouse including OLAP cube in multidimensional data model with proficiency / conceptual understanding of PySpark and SQL scripting. Responsible for the design, development, testing, implementation and support functional semantic data marts using various modeling techniques from underlying data stores/data warehouse and facilitate Business Intelligence Data Solutions Experience in building reports, dashboards, scorecards & visualization using Tableau/ Power BI and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. Responsible for AI/ML model Utilizing machine learning, statistical methods, data mining, forecasting and predictive modeling techniques. Following Dev Ops Model, Agile implementation, CICD method of deployment & JIRA creation / management for projects. Define and build technical/data documentation and experience with code version control systems (for e.g., git). Assist owner with periodic evaluation of next generation & modernization of platform. Exhibit Leadership Principles such as Accountability & Ownership of High Standards: Given the criticality & sensitivity of data . Customer Focus : Going Above & Beyond in finding innovative solution and product to best serve the business needs and there-by Visa. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications • Bachelors degree or •0.6-1.6 years of work experience with a Bachelor’s Degree or Master's Degree in computer / information science with relevant work experience in IT industry •Enthusiastic, energetic and self-learning candidates with loads of curiosity and flexibility. •Proven hands-on capability in the development of data pipelines and data engineering. •Experience in creating data-driven business solutions and solving data problems using technologies such as Hadoop, Hive, and Spark. •Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala. •Familiarity with AI-centric libraries like TensorFlow, PyTorch, and Keras. •Familiarity with machine learning algorithms and statistical models is beneficial. •Critical ability to interpret complex data and provide actionable insights. This encompasses statistical analysis, predictive modeling, and data visualization. •Extended experience in Agile Release Management practices, governance, and planning. •Strong leadership skills with demonstrated ability to lead global, cross-functional teams. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Show more Show less

Role: AI/ML Engineer Relevant experience: 3+ years Location: Bangalore/Mysore/Coimbatore Work mode: From office 5 days a week Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras Show more Show less

Overview: We are looking for a motivated and detail-oriented Business Analyst Intern to join our team. As a Business Analyst Intern, you will work closely with cross-functional teams, dive deep into data, uncover insights, and help drive business decisions. If you are analytical, love problem-solving, and have a strong command of SQL, we’d love to meet you! Key Responsibilities: Analyze large datasets to extract actionable insights and support business growth initiatives. Write complex SQL queries to retrieve and manipulate data. Work closely with different teams to identify opportunities and optimize processes. Assist in building dashboards, reports, and performance trackers. Conduct competitor analysis, market research, and user behavior studies. Support ongoing projects and ad-hoc data requests. Requirements: Are available for an in-office internship Tier 1 college (preferably IIT, BITS, IIM, and NIT) Proficiency in SQL (must-have) for querying and handling large datasets. Ability to synthesize complex data into actionable business insights. Excellent problem-solving and critical-thinking skills. Strong communication skills to present data-driven recommendations. Prior internship experience in business analytics or data roles is a plus. The FRND team operates six days a week, with every 1st and 3rd Saturday working About FRND FRND is redefining the way people connect by building a social platform that’s not just engaging but also safe, inclusive, and fun. We’re a rapidly growing startup with a bold mission: to transform online interactions into meaningful relationships. Why FRND? Impact at Scale: Be part of the next big wave in social connection, shaping experiences for millions across India, LATAM, and MENA. Rewarding Journey: Competitive compensation, equity options, and growth that parallels FRND’s explosive success. Learn with the Best: Collaborate directly with founders and industry pioneers, supported by stellar investors like Krafton, India Quotient, and Elevation Capital. Freedom to Thrive: Enjoy an unlimited leave policy and unparalleled ownership of your work. Product-Centric Mindset: Work in a company where products take center stage, solving unique challenges with innovative solutions. Show more Show less

About Lowe’s India We are a team of 4500+ associates with expertise across Enterprise Architecture, Data Science & Analytics, Omni-channel Platforms, Financial planning & Analytics, Digital Commerce, Supply Chain, Merchandising, Marketing, and beyond. We optimize business processes and leverage new technologies & innovative methods to ensure that Lowe's has a competitive edge in the market and stays ahead in the ever-evolving retail landscape. To know more about Lowe's India, visit Lowes.co.in About the Team The Digital Commerce team at Lowe’s India is an extension to the core Digital Commerce function at Lowes’ Headquarters in Mooresville. The team in India focuses on multiple areas such as Digital Category Experience, Digital Commerce Support, Brand Advocates, Marketplace support, Dropship modernization, Customer Engagement, Category performance analytics, Site Operations, SEO and Omnichannel Product Content. This team partners closely with the team in the US to optimize and grow Lowe’s Digital Commerce business. Job Summary The SEO team resides within the Site Strategy & Planning function and is responsible for improving organic search rankings, driving traffic to our website and building & executing the overall SEO strategy. They work closely with content development and marketing teams to optimize content on our website and ensure alignment with SEO best practices, industry trends, and business goals. The team also partners closely with Product and Tech teams to ensure that technical SEO hygiene is best in class. As an SEO & Analytics Manager, you will play a key role in evaluating, executing, and optimizing initiatives with a strong focus on data analysis, audience segmentation, and performance tracking using tools like Power BI, SQL, Python, and enterprise SEO platforms. The role requires deeper emphasis on analytics and visualization to help drive smarter business decisions and more impactful SEO outcomes. Roles & Responsibilities: · Use tools like SQL, Power BI, and Python to extract, process, and analyze large datasets and build scalable · Drive data-led governance and optimization by analyzing audience behavior, traffic sources, landing page · Guide the team in transforming complex data into actionable recommendations across business units, ensuring · Oversee development of SEO dashboards and visualizations that enable timely, strategic decisions and · Collaborate with cross-functional teams (Tech, Content, Marketing, Product) to align SEO efforts with broader business objectives. · Maintain accountability for SEO strategy and execution, including content optimization, technical hygiene, and off-page strategies, while closely monitoring KPIs. · Regularly review landing pages, SEO tags, and site structure to identify opportunities for growth through a data-first lens. · Present insights, project updates, and performance summaries to internal stakeholders and leadership. Years of Experience: · 8+ years of overall work experience. · 5+ years of relevant experience in an analytics-focused role in a Retail/E-commerce or agency environment & 3+ years of people management experience. · Experience in working with US-based companies or clients (preferred). Education Qualification & Certifications (optional) · Graduate (in any discipline) - degree in Digital Marketing or a related field is a plus. · Master’s degree in Digital Marketing or a related field is preferred. Skill Set Required · Advanced proficiency in SQL and experience working with large datasets. · Practical experience with data visualization and BI tools, especially Power BI. · Working knowledge of Python for data manipulation and analysis. · Proficiency with web analytics and measurement tools such as Adobe Analytics or Google Analytics. · Familiarity with SEO platforms (Google Search Console, SEO Clarity, Botify, SEMrush). · Strong analytical mindset and ability to translate data into strategic action. · People management capabilities with experience coaching and leading analyst teams. · Experience with workflow/project management tools (Workfront, Jira, etc.). · Proven ability to manage multiple priorities and deliver high-impact projects across teams. Show more Show less

Company: A Large Global Organization Key Skills: Machine Learning, Linear Regression, Deep Learning, Pytorch, Python, R Programming. Roles and Responsibilities: Lead and mentor a team of data scientists in developing advanced machine learning models. Design and implement data-driven strategies to solve complex business problems. Collaborate with cross-functional teams to integrate data science solutions into business operations. Conduct research and development to innovate new algorithms and methodologies. Analyze large datasets to extract meaningful insights and drive business growth. Present findings and recommendations to stakeholders in a clear and actionable manner. Stay updated with the latest trends and advancements in data science and machine learning. Work mode: Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH). Experience Requirement: 13-15 years of experience in data science, with strong expertise in machine learning and deep learning. Proven experience in applying linear regression and other supervised learning techniques to real-world business problems. Hands-on experience in leading end-to-end data science projects from data preprocessing to model deployment. Demonstrated success in managing and mentoring high-performing data science teams. Strong ability to translate business challenges into data science solutions and measurable outcomes. Track record of delivering business impact through innovative use of machine learning and analytics. Education: Any Graduation. Show more Show less

Senior Analyst Tax – Global Finance Operations How is this team contributing to vision of Providence? The Senior Analyst for Global Finance Operations plays a crucial role in performing the work to maintain and ensure accurate and timely financial reporting. This position includes performing operations, meeting SLA and targets, data analysis, report generation, and collaboration with various stakeholders to support the operation. Key Responsibilities • Work closely with the global stakeholders to process and ensure accurate recording (Accruals, Amortization, Allocation, Reclass, etc.), reporting, consolidation and analyzing reports pertaining to Tax accounting. • Prepare Balance Sheet reconciliations covering Tax and related account. Closely monitor and resolve all aged open items and make sure balance is properly supported. • Active participation in performing the monthly, quarterly and annual closing process related to Tax. • Preparation of Tax work papers and matching with the reports. • Reasonable understanding of US Tax laws. • Preparing monthly close reports & variance analysis of various Providence entities to ensure the numbers are materially accurate • Extract, modify and analyze monthly reports as required and resolve queries and complex accounting issues. • Perform Tax related audit deliverables during audit. • Periodic updating of SOPs to make sure any process changes, exceptions and new learnings are updated timely. Competencies • Analytical Thinker: Able to dissect complex financial data and derive meaningful insights • Attention to Detail: Meticulous in maintaining data accuracy and producing error-free reports. • Team Player: Collaborative mindset to build strong and enduring relationships to work effectively with cross-functional teams • Deadline-Driven: Ability to meet tight reporting deadlines and prioritize tasks. • Adaptability: Willingness to adapt to changing business needs and technologies • Problem Solver: Capable of identifying issues timely and proposing solutions • Quick learner: Able to learn and understand end to end Tax accounting processes and system for high quality performance. • Communication: Transparent communications, and alignment between diverse constituents. • ERP: Experience on working with Oracle ERP would be a plus. Who are we looking for? • Preferably CMA / MBA / M.com / Semi qualified with 3 to 5 years (or) CA / CPA with 1 to 2 years of experience in Tax accounting • Excellent communication skills and cross -departmental collaboration skills • Experience in working with global stakeholders• High-performance creativity and “optimistic” personality • Night shift role, EST time zone. Show more Show less

Influencer.in is India’s largest influencer marketing platform that connects brands with digital influencers. It’s an initiative of India's fastest-growing digital agency, Social Beat with 200+ digital experts across India. With our web & app platform, we help brands create quality content and amplify the reach among the target audience by leveraging 70,000 verified digital influencers across Instagram, Facebook, YouTube, Twitter, Amazon, Linkedin, Moj, TakaTaka, Clubhouse, and industry-specific platforms. We aim to build ground-breaking products in India for the influencer and creator economy. Role and Responsibilities: 1. Lead, identify and proactively onboard influencers on performance campaigns 2. Understand and figure out how to maximize storefront performance by matching the right influencers with the right brands 3. Guide the discussion on product and brand integration in influencers' content. 4. Coordinate and manage expectations in terms of quality and timely delivery from influencers as well as from the internal team 5. Plan association keeping long-term goals in sight. 6. Collaborate with all internal stakeholders to negotiate the best possible terms and establish commercial and strategic agreements with influencers. 7. Monitor and analyze influencer performance and achieve storefront metrics 8. Discern data and extract insightful observations 9. Conduct post-mortems of campaigns and storefront performance; generate reports on key insights, recommendations, and strategic adjustments to drive change for continuous improvement. 10. Developing business driving & communication strategies and assisting clients with future campaign planning. An ideal candidate should have 1. Minimum 6 months - 1 year of relevant experience in influencer marketing 2. Experience in negotiating rates and terms with influencers 3.. Excellent written and verbal communication skills 4. Experience with maintaining professional relationships remotely 5. Strong planning skills: Clearly lay out the steps required to execute a marketing strategy, providing a logical progression from campaign creation to completion. 6. Provide creative input across all campaigns and projects Show more Show less

Data Scientist Job Description Position: Data Scientist Experience Level: [Junior/Mid-level] - 3-5 years Job Summary We are seeking a Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions. Key Responsibilities Data Analysis & Exploration Perform comprehensive exploratory data analysis (EDA) on large datasets. Identify patterns, trends, and anomalies in data. Conduct statistical analysis to validate business hypotheses. Create data visualizations to communicate findings effectively. Assess and ensure data quality and integrity. Write complex SQL queries to extract and manipulate data Machine Learning & Modeling Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc) Implement supervised and unsupervised learning algorithms Perform feature engineering and selection Evaluate model performance using appropriate metrics Deploy and monitor machine learning models in production Programming & Development Develop data analysis scripts and automation tools using Python Build data pipelines and ETL processes Create reusable code libraries and functions Maintain version control and documentation standards Required Qualifications Technical Skills SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization Python: Strong programming skills in Python for data analysis and machine learning Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design Knowledge of any cloud like AWS, GCP or Azure is good to have Familiarity with version control systems Experience with containerization and deployment tools Good to Have:- Worked on GenAI based Projects Using GenAI for driving productivity in your work. Knowledge of PySpark is a plus Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Scala Good to have skills : NoSQL Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Scala. - Good To Have Skills: Experience with NoSQL. - Strong understanding of data pipeline architecture and design. - Experience with ETL tools and frameworks. - Familiarity with data warehousing concepts and technologies. - Proficient in data quality assurance and data governance practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Scala. - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, Core Banking, PySpark Good to have skills : AWS BigData Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark. - Good To Have Skills: Experience with AWS BigData. - Strong understanding of data modeling and database design principles. - Experience with data integration tools and ETL processes. - Familiarity with data governance and data quality frameworks. Additional Information: - The candidate should have minimum 5 years of experience in Snowflake Data Warehouse. - This position is based in Pune. - A 15 years full time education is required. Show more Show less

Company Description Zenardy is a technology consulting company specializing in implementing NetSuite industry solutions for various verticals including Hi-tech, Food & Beverage, Manufacturing & Distribution, and General Business. Role Description This is a full-time on-site role for a NetSuite Analytics and Warehouse Engineer located in Chennai. The engineer will be responsible for tasks related to data engineering, data modeling, Extract Transform Load (ETL), data warehousing, and data analytics. Qualifications Data Engineering and Data Modeling skills Experience in Extract Transform Load (ETL) processes Data Warehousing and Data Analytics skills Strong problem-solving and analytical skills Proficiency in SQL and other data querying languages Experience with NetSuite or similar ERP systems is a plus Bachelor's degree in Computer Science, Information Technology, or related field Show more Show less

The Senior Analyst for Global Finance Operations plays a crucial role in performing the work to maintain and ensure accurate and timely financial reporting. This position includes performing operations, meeting SLA and targets, data analysis, report generation, and collaboration with various stakeholders to support the operation. Responsibilities · Work closely with the global stakeholders to process and ensure accurate recording (Accruals, Amortization, Allocation, Reclass, etc), reporting, consolidation and analyzing reports pertaining to Payroll accounting· Prepare Balance Sheet reconciliations covering Payroll and related account. Closely monitor and resolve all aged open items and make sure balance is properly supported. · Active participation in performing the monthly, quarterly and annual closing process related to Payroll. · Process Monthly payroll reports. · Process full and final settlements. · Book payroll related accruals like Annual bonus, incentives, Restructuring, etc and true up entries. · Proper accounting of employee deductions, tax deposit to Govt. · Proper accounting for employee benefit schemes like Insurance, Defined contribution pension plans such as the 401(k), Retirement benefits, etc. · Preparing monthly close reports & variance analysis of various Providence entities to ensure the numbers are materially accurate · Extract, modify and analyze monthly reports as required and resolve queries. · Perform Payroll related audit deliverables during audit. · Periodic updation of SOPs to make sure any process changes, exceptions and new learnings are updated timely. Who are we looking for? · Preferably CMA / MBA / M.com / Semi qualified with 3 to 5 years (or) CA / CPA with 1 to 2 years of experience in Payroll accounting ·Excellent communication skills and cross -departmental collaboration skills. ·Experience in working with global stakeholders. ·High-performance creativity and “optimistic” personality. ·Night shift role, EST time zone Show more Show less

Job Description ( Candidates with less than 5 years of experience, please do not apply for this. Wait for my next post for engineer roles) In this role, you will be working with one of the top engineering companies in the world, will be handling complex algorithms involving peta bytes of data. In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development. Responsibilities Development of machine learning models Building and maintaining software development solutions Provide insights by applying data science methods Take ownership of delivering features and improvements on time Must-have Qualifications 6+ years experience Senior data scientist/ML engineer preferable with knowledge of NLP Strong programming skills and extensive experience with PythonProfessional experience working with LLMs, transformers and open-source models from HuggingFace Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). Experience using deep learning libraries and platforms, such as PyTorch Experience with frameworks such as Sklearn, Numpy, Pandas, Polars Excellent analytical and problem solving skillsExcellent oral and written communication skills Extra Merit Qualifications Knowledge in at least one of the following: NLP, information retrieval, data mining Ability to do statistical modeling and building predictive models Programming skills and experience with Scala and/or Java Show more Show less

Company Overview: LSC is a leading life science consulting firm dedicated to providing expert guidance and innovative solutions to our clients in the pharmaceutical, biotechnology, and healthcare industries. We are seeking a talented Social Media Listening Specialist to join our dynamic team and contribute to our mission of delivering high-quality consulting services. Job Summary: As a Social Media Listening Specialist, you will monitor, analyze, and report on trends, insights, and conversations within the pharma, medtech, and life science s industries. You will track discussions from industry experts, influencers, and key opinion leaders (KOLs) to extract valuable insights. This role requires a keen eye for detail, strong analytical skills, and the ability to communicate findings effectively. Key Responsibilities: Social Listening & Monitoring : Track conversations and trends on platforms like Twitter, LinkedIn, Instagram, and industry forums to identify key topics, shifts, and emerging themes Analysis & Insights Developmen t: Gather and synthesize data from industry experts, KOLs, and influencers to develop actionable insights Trend Identification : Identify relevant industry trends, hashtags, and topics, providing insights into what’s driving discussions Content Analys is: Evaluate content shared by industry leaders to understand emerging strategies, themes, and best practices Report Generatio n: Create and present regular reports highlighting key findings, insights, and actionable recommendations Stakeholder Collaboratio n: Work closely with internal teams to ensure insights align with business objectives Tool Utilizatio n: Use social media listening tools (e.g., Brandwatch, BuzzSumo, Sentione, Hootsuite Insights, Devi AI, Quid, LinkedIn Sales Navigator, Google Trends, Synthesio, Talkwalker, Sprinklr, Meltwater, Pulsar) to collect, filter, and interpret data effectivelly Competitor Monitoring : Track and report on competitor activities and their engagement with industry influencers and KOLs Qualification: Bachelor’s degree in Marketing, Communications, Data Analytics, or a related field Prior experience in social media listening, analytics, or related roles within the pharmaceutical, medtech, or life sciences industry is required Proficiency with social media listening tools such as Brandwatch, BuzzSumo, Sentione, Hootsuite Insights, Devi AI, Quid, LinkedIn Sales Navigator, Google Trends, Synthesio, Talkwalker, Sprinklr, Meltwater, and Pulsar Strong analytical skills with the ability to interpret and present data meaningfully Excellent written and verbal communication skills Ability to work independently and collaboratively in a fast-paced environment Strong attention to detail and a proactive approach to monitoring industry conversations Compensation Competitive compensation based on candidate’s experience Additional information regarding our company and recruiting process can be found here: Website: https://consultingls.com/ LinkedIn: https://www.linkedin.com/company/lifesciences-consulting-l.s. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, PySpark, Core Banking Good to have skills : AWS BigData Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data processing workflow. Your role will be pivotal in enhancing the efficiency and reliability of data operations within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processing workflows to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark. - Good To Have Skills: Experience with AWS BigData. - Strong understanding of data modeling and database design principles. - Experience with data integration tools and ETL processes. - Familiarity with cloud-based data solutions and architectures. Additional Information: - The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse. - This position is based in Pune. - A 15 years full time education is required. Show more Show less

Job Responsibilities: 1. Participate in and lead the entire process of planning for the exploration and packaging of mobile phone products, be responsible for exploring and packaging the core selling points, product value, product stories, and consumer benefits of the Indian series of products, and determine the product positioning and promotion strategies. 2. Deeply research the products, analyze the competitive advantages and disadvantages, transform the professional product knowledge into marketing language, conduct product story packaging and product selling point communication planning, ensure the transmission and expression of the core product information, and output the core FABE of the product/keynote of the launch event/copy on the official website/speech draft of the launch event/slogan, etc. 3. Be responsible for the communication of the core content planning of the product (in the form of video/copy / graphic, etc.) on the social media and public relations side, participate in the production of core materials and control. 4. Participate in the pre-marketing product planning. Based on the understanding of the industry and users, input marketing-end product insights at the product project establishment stage to ensure the competitiveness of the product. Requirements: 1. Bachelor's degree or above, with 3-5years of relevant working experience; familiar with the 3C industry, IoT or Internet industry experience is preferred, and experience in marketing planning, product public relations, digital marketing, etc. is preferred. 2. Have strong product understanding and insight capabilities, be able to put forward requirements for the product from the user's perspective, and also be able to extract good product stories from the user's perspective. 3. Fluent in English, have certain bilingual copywriting capabilities in Chinese and English, have good writing expression skills, and can transform the product language into simple and understandable user communication language. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Knowledge of data warehousing concepts and best practices. Additional Information: - The candidate should have minimum 5 years of experience in PySpark. - This position is based in Mumbai. - A 15 years full time education is required. Show more Show less

LSC (Lifesciences Consultants) is a leading consulting firm in the Pharma/Biopharma/Medtech industry, providing strategic insights to clients worldwide. We are seeking highly motivated and skilled Research Analysts to join our dynamic team. Job Summary: As a Research Analyst, your primary responsibility will be to conduct comprehensive secondary research and gather competitive intelligence in the Pharma/Biopharma/Medtech sector. You will play a crucial role in supporting our client engagements and contribute to the generation of valuable market insights. The ideal candidate should possess relevant experience in Pharma/Biopharma/Medtech market research and have a thorough understanding of both free and proprietary databases in the industry. Key Responsibilities: •Conduct in-depth secondary research to gather data on Pharma/Biopharma/Medtech industry trends, market dynamics, and competitor activities. •Utilize various databases and sources to extract, analyze, and synthesize relevant information for client projects. •Keep abreast of the latest industry developments, regulatory changes, and technological advancements in the life sciences sector. •Collaborate with cross-functional teams to contribute to strategic projects and assist in generating actionable recommendations. •Prepare comprehensive reports and presentations summarizing research findings, competitive landscapes, and market opportunities. •Assist in the development of data-driven insights to support strategic decision-making for clients. Qualifications and Experience: •Bachelor's degree in Life Sciences, Pharmacy, Biotechnology, Business Administration, or a related field. • Experience in Pharma/Biopharma/Medtech market research or competitive intelligence. •Familiarity with a wide range of secondary research methodologies and data analysis techniques. •In-depth knowledge of the Pharma/Biopharma/Medtech industry, including key players, products, and market trends. •Strong proficiency in utilizing free and proprietary databases for industry-specific research. •Proficient in using market research tools, data visualization software, and MS Office Suite (Excel, PowerPoint, Word). •Excellent analytical, critical thinking, and problem-solving skills with acute attention to detail. •Effective communication and presentation abilities, both written and verbal. •Ability to work independently and efficiently in a fast-paced, deadline-driven environment. Show more Show less

Job Summary We are seeking a highly skilled and detail-oriented Senior SQL Data Analyst to join our data-driven team. This role will be responsible for leveraging advanced SQL skills to extract, analyze, and interpret complex datasets, delivering actionable insights to support business decisions. You will work closely with cross-functional teams to identify trends, solve problems, and drive data-informed strategies across the organization. Key Responsibilities Develop, write, and optimize advanced SQL queries to retrieve and analyze data from multiple sources. Design and maintain complex data models, dashboards, and reports. Collaborate with stakeholders to understand business needs and translate them into analytical requirements. Conduct deep-dive analysis to identify key business trends and opportunities for growth or improvement. Ensure data integrity and accuracy across systems and reporting tools. Automate recurring reports and develop scalable data pipelines. Present findings in a clear, compelling way to both technical and non-technical audiences. Qualifications Required: Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field. 5+ years of experience in data analysis or a similar role with a strong focus on SQL. Expert proficiency in SQL (window functions, joins, CTEs, indexing, etc.). Strong understanding of data warehousing concepts and relational database systems (e.g., PostgreSQL, SQL Server, Snowflake, Redshift). Experience with BI tools like Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Preferred Experience with scripting languages (Python, R) for data manipulation. Familiarity with cloud data platforms (AWS, Azure). Knowledge of ETL tools and best practices. Previous experience in a fast-paced, agile environment. Show more Show less

Techmantu is a 10+ year-old digital media consultancy specializing in strategy, implementation, and operations in digital marketing and skilling. The Shared Services team plays a critical role in supporting multiple practice areas, including Techmantu Marketing and Techmantu Skilling, by enabling seamless operational workflows and ensuring high-quality project delivery. We are looking for Data Analysts to contribute to our consulting engagements across both digital marketing and skilling domains, driving data-driven insights that enhance decision-making, performance optimization, and project success. Key Skills: Data Extraction, Data Cleansing, Data Manipulation, Data Design, Data Analysis, Data Measurement & Collection, Building Data Dashboards, Experiment Design, Marketing Campaign Analysis, Marketing Asset Analysis and Optimization, Web Analytics, Paid Media Analytics, Social Media Analytics, Customer Data Analytics, eCommerce Analytics, Competitor Analytics. Job Description : Techmantu Data Analysts are data champions within our Center of Excellence for Data and Technology – Techmantu Labs. Techmantu Labs comprises specialists with a deep understanding of data and technology to support digital marketing and skilling operations. Our Data Analysts operate as integral members of Techmantu’s project delivery teams, working across both marketing and skilling engagements to build, maintain, and optimize data assets that drive measurable outcomes. To be effective, Techmantu Data Analysts should take on the following responsibilities: Data Management Lifecycle: ● Extract, cleanse, and reorganize data from both primary and secondary sources for use in both marketing and skilling contexts. ● Perform quality assessments on data, identifying patterns, trends, and predictions to inform decision-making across the business. ● Prepare analysis reports and recommendations to be shared with internal and external stakeholders, driving data-backed decisions in marketing and skilling engagements. Digital Tracking Mechanisms: ● Work with developers and project teams to implement and monitor tracking mechanisms across marketing assets and skilling platforms, ensuring data accuracy and ongoing performance tracking. Dashboard Management (Marketing & Skilling): ● Build and manage performance dashboards for both marketing campaigns and skilling initiatives, ensuring accurate and timely data reporting. ● Regularly update dashboards and datasets, clean and preprocess data, and ensure actionable insights are derived from the analysis. Web & Digital Asset Analytics: ● In addition to setting up standard web reports, continually mine web analytics tools like Google Analytics & other measurement tools for nuggets of information and insights to improve website performance. ● Collect and analyze website user data, and provide insights for optimizing user experiences. Performance Analysis: ● Design and optimize measurement strategies for both marketing campaigns and skilling programs, ensuring actionable insights for performance improvement. ● Analyze the performance and ROI of campaigns, skilling initiatives, and other assets, using industry-standard metrics and indicators. Campaign Experiment Design: ● Work with delivery teams to design campaign experiments that will produce statistically sound, actionable results. ● Help run experiments (test campaigns), analyze key metrics, and identify opportunities to improve campaign performance. ● Develop and present learnings from analyses, including actionable insights and recommendations. Competitor Analysis: ● Conduct market research to analyze the competitive landscape, determine brand perceptions, identify new market opportunities, and help with the overall SWOT analysis for all new products. Requirements: Please send in an application if the following applies to you: ● Have a postgraduate degree in Business Management, Computer Science, Engineering, Math, Economics, or equivalent background. ● Have outstanding academic achievement with at least a first class. ● Have had 2-5 years of experience in the areas of digital media, marketing, marketing technology, and data, with a desire for an intense problem-solving environment. ● Have strong exposure to one or many generic measurement and analysis tools such as Microsoft Excel, Python, Google Sheets, SAS, SPSS, MATLAB, and one or many marketing-specific measurement tools such as Google Analytics, WebTrends & Omniture. ● Have quality data, verbal, and written communication skills. ● Have strong problem-solving skills, a demonstrated aptitude for dealing with complexity, continuous learning, and an eye for detail. Techmantu Data Analysts will need to work out of Techmantu’s offices in Koramangala, Bangalore – until they become eligible for our flexible, hybrid-remote working option. Why Join Us? Techmantu offers industry standard pay-packages. Techmantu Data Analysts will be provided the necessary preparatory and on-the-job training on the skills & knowledge, and Techmantu’s approach to be effective in their jobs. Techmantu Data Analysts will be under the mentorship and guidance of a Senior Manager in Techmantu Shared Services. Show more Show less

Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe. Job Title: SAP BODS (Data Migration) Location: Hyderabad Experience: 5+ yrs Job Type : Contract to hire Notice Period:- Immediate joiner Mandatory Skills 2-4 Yrs. of overall technical experience in SAP BODS with all the SAP BODS application modules (Extract, Transform, Load) 1-2 Yrs. of experience with Data Migration experience with S/4 HANA/ECC Implementations Experience in BODS Designer Components- Projects, Jobs, Workflow, Data Flow, Scripts, Data Stores and Formats Experience in BODS performance tuning techniques using parallel processing (Degree of Parallelism), Multithreading, Partitioning, and Database Throughputs to improve job performance Experience in ETL using SAP BODS and SAP IS with respect to SAP Master / Transaction Data Objects in SAP FICO, SAP SD, SAP MM/WM, SAP Plant Maintenanc Show more Show less

Position Summary Futures First is a part of the Hertshten Group, its holding company which has raised the benchmarks for excellence in the international derivatives industry. Futures First benefits from the significant experience of the Hertshten Group in derivatives markets across global financial exchanges. This is an exciting challenge and an excellent opportunity for bright, analytical, highly motivated professionals to join a vibrant and global organization. At Futures First, we are dedicated to empowering our team with cutting‑edge technology, comprehensive training, dependable infrastructure, and ongoing learning opportunities—enabling everyone to produce high‑caliber work while advancing both professionally and personally. Job Profile We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, MIS reporting, and proficiency in Excel, VBA Macros, SQL, Python, and Power BI/Qlik Sense. This role involves transforming data into actionable insights to support business decisions. Key Responsibilities: Develop, maintain, and automate MIS reports and dashboards to support various business functions. Utilize advanced Excel functions including VBA Macros, for data analysis, reporting and automation. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Employ Python for data cleaning, analysis, and visualization tasks. Design and implement interactive dashboards and reports using Power BI/Qlik Sense to visualize key performance indicators and trends. Collaborate with cross-functional teams to understand data requirements and deliver insights. Ensure data accuracy and integrity across all reporting platforms. Requirements Education Qualifications Bachelor's or Master’s in any discipline Work Experience Minimum of 3 years of experience in data analysis or a similar role Skill Set Any certification in data analysis would be an added advantage Good analytical, logical and communication skills Proficiency in Microsoft Excel, including advanced functions and VBA Macros. Strong knowledge of SQL and Python for data querying and manipulation. Good to have hands on experience on one of the self-serviced BI tools like Power BI or Qlik Sense. Location: Gurgaon, Haryana Experience: 3+ Years Employment Type: Full-time Show more Show less