Data Analytics jobs in India

The Data Analytics Lead role in the Financial Services industry focuses on leveraging analytical skills to provide insights and solutions within the Fund Management sector. This position, based in Mumbai, requires a professional to manage and optimise analytics processes to support data-driven decision-making.

We are seeking a Senior Clinical Data Analytics Engineer with expertise in analytics to join our team in Mumbai Suburban. The ideal candidate will be responsible for leveraging data analytics to support clinical insights and deliver impactful solutions in the technology and telecoms industry.

Drive data, analytics, and AI strategy globally.

Build governance, platforms, and a data-driven culture

The position is a senior leadership role within the Client's data science organization, responsible for driving strategic analytical solutions, nurturing a high‑performing team, and shaping the company's growth. It requires deep client engagement, problem‑solving expertise, and the ability to convert complex business challenges across multiple industries into scalable data‑driven solutions.

The Head of Data Sciences, Analytics and BI will be responsible for leading data-driven decision-making processes and enhancing business intelligence capabilities within the organization. This role requires expertise in analytics and a strong background in managing data science projects in the Transport & Distribution industry

Seeking a Data Science and Analytics Manager to lead a team of 10-15 talented data analysts and engineers. This role is central to driving strategic analytics initiatives across our global operations, with a strong focus on supply chain, manufacturing, and semiconductor equipment processes.

Design and deploy scalable GenAI systems for analytics use cases.

Partner with teams to power next‑gen decision intelligence.

Design and deploy scalable GenAI systems for analytics use cases.

Partner with teams to power next‑gen decision intelligence.

The Senior AI / GenAI Expert will leverage advanced AI technologies to drive innovation and efficiency within the renewable energy sector. This role is based in Gurugram and focuses on applying analytics to solve complex industry challenges.

The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients.

The CRM & Loyalty Lead will oversee the development and execution of customer relationship management strategies to enhance customer retention and loyalty. This role requires expertise in the retail industry.

The Lead Rural Analytics position involves developing and implementing analytics strategies to enhance decision-making in the financial services sector, specifically retail banking and loans. This role is based in Bandra (East), Mumbai, and focuses on leveraging data insights to drive business outcomes in rural markets.

The Sr Director - Analytics will oversee analytics operations to provide insights and strategic recommendations within the FMCG industry, specifically in the Food - FMCG sector. The role is based in Hyderabad and requires expertise in leveraging data to drive business outcomes.

The role of MD - Data & AI involves leading data-driven strategies and leveraging AI to enhance operational efficiency in the transport and distribution industry. Based in Chennai, this position requires expertise in analytics and a strong understanding of third-party logistics.

The Gen AI (SPC) role in the renewable energy sector involves leveraging advanced analytics to optimise operations and enhance efficiency. This position is based in Pune and requires expertise in analytics to support data-driven decision-making.

The role of Manager ML Engineering involves developing and deploying machine learning solutions to address complex business challenges within the FMCG sector, particularly in the Beverages & Alcohol segment. The position is based in Bengaluru Urban and requires expertise in analytics and machine learning technologies to drive data-driven decision-making.

The Data Analyst role in the retail industry requires strong analytical capabilities to interpret data and provide actionable insights that drive business decisions. This position is based in Shanghai and involves working closely with the analytics department to optimise performance.

The Head of Data will be responsible for leading and overseeing all data-driven initiatives within the organisation, ensuring the effective use of analytics to support strategic goals. This role requires strong expertise in data management, analytics, and the ability to drive actionable insights in the leisure, travel & tourism industry.

The Head Center of Excellence AI will lead the strategic development and implementation of artificial intelligence initiatives within the organization. This role involves leveraging advanced analytics to drive innovation and operational excellence in the automotive industry.

Day to day support the delivery of assurance work conducted by our auditors by providing in-depth and insightful analysis of available risk and business data, as well as helping develop the function's use of analytical tools across the entire range

The Senior AI Engineer will play a critical role in developing and implementing cutting-edge AI solutions to support various business needs. This position, based in Hyderabad, requires a strong technical background and expertise in artificial intelligence within the technology industry.

The Digital & AI Initiative Lead will be responsible for driving the adoption of digital tools and AI technologies within the FMCG sector, specifically in the food industry. The role requires expertise in analytics and the ability to lead projects that enhance operational efficiency and decision-making.

The position of AD - AI Ops involves leading analytics and artificial intelligence operations within the FMCG sector, specifically focusing on beverages and alcohol. The role is based in Bangalore and requires strong expertise in analytics to drive data-driven decisions.

The HR Ops Analyst in the MNC will be responsible for supporting human resources operations through MIS reporting, analytics, ensuring smooth processes within the organisation. This role is based in Chennai and requires a detail-oriented individual with a focus on efficient service delivery.

We're hiring for a Sr. Business Analyst, with min. 3+ years of experience in confluence, JIRA, and cloud-based data architectures, skilled in stakeholder management and adaptable across BA, DA, and PM roles.

The AD/SM - DE role in the Financial Services industry involves managing data engineering tasks to support investment and asset management analytics. This position is based in Bangalore and requires expertise in analytics and data processes.

The incumbent will be responsible for deploying analytics algorithms and tools on chosen tech stack for efficient and effective delivery. Responsibilities include delivering insights and targeted action plans, address specific areas of risk and opportunity, work cross-functionally with business and technology teams, and leverage the support of global teams for analysis and data

The role of Associate - Risk in the Financial Services industry focuses on leveraging data analytics to identify, assess, and mitigate risks. This position is based in Bangalore and requires a strong analytical mindset to support decision-making processes.

The Head of Global Data & Analytics is responsible for defining and executing the enterprise-wide data and analytics strategy. The role drives transformation by establishing governance frameworks, building scalable data platforms, and enabling high-quality, compliant, and accessible data across the organization. It oversees the development of data products, analytics, and AI capabilities.

Conduct deep market, industry, and financial analysis-leveraging primary/secondary research and advanced data analytics-to identify trends, evaluate opportunities, and assess risks. Synthesize insights into clear reports, models, and presentations while collaborating with cross‑functional teams and monitoring industry developments to support investment decisions.