Analytics jobs in India

• Own AI product strategy and delivery for manufacturing operations.
• Bridge plant teams and AI experts to drive measurable outcomes.

The Head - AI Innovation will lead the organisation's enterprise-wide AI strategy, partnering with business leaders across functions to identify high-value AI opportunities, develop scalable AI solutions, and drive organization-wide adoption. This role will serve as the bridge between business, technology, and operations, ensuring AI initiatives deliver measurable business impact, enhance customer experience and improve operational efficiency.

As a Data Analyst in Gurgaon, you'll work with data to create reports, analyse trends, and provide insights that support business decisions. You'll use tools like Excel and Power Query to manage and interpret data efficiently.

We're partnering with a high-growth FinTech Organisation to hire a Category Manager who will be responsible for driving GMV, category performance, demand generation, and commercial growth. This role is ideal for someone who has owned business metrics, P&L outcomes, and growth initiatives within a D2C, e-commerce, marketplace, or consumer internet environment.

The role of a Sr Data Architect involves designing and managing data solutions to support analytics and decision-making. You will work in Bangalore within the professional services consultancy industry to create efficient data architectures and strategy

Lead testing of AI agents, RAG systems, and GenAI workflows.

Build automation frameworks ensuring AI reliability and safety.

The Director - Data Science is a senior leadership role responsible for leading the design and deployment of advanced AI solutions, including Agentic AI, Large Language Models (LLMs), Machine Learning, and intelligent automation capabilities, while ensuring they are scalable, secure, and production ready. The role combines deep technical expertise with strategic product leadership to build innovative, enterprise-grade AI products

Lead IBP and supply chain planning transformation through technology.

Drive optimization, analytics and digital innovation across operations.

Lead the Credit Risk function for a high-growth Fintech, overseeing credit policy governance, risk frameworks, and second-line risk management. This role will partner closely with senior leadership to strengthen portfolio quality, regulatory compliance, and long-term risk strategy while building a high-performing risk team.

As the Head of Data in Finance Operations & Billing, you'll oversee data processes and ensure smooth operations. You'll work with teams to improve analytics and manage billing data effectively.

The AMEA Data Analyst / Manager Reporting & Data Enablement will help organise, analyse, and present data to support decision-making. You'll ensure reports are accurate and useful, while making data more accessible across the business.

We're hiring an Engineering Experience Lead for a leading technology-driven organization. This role is focused on improving developer experience, driving engineering best practices, standardizing CI/CD processes, and enabling platform adoption across engineering teams.

As a Computer Vision Engineer, you'll design and develop computer vision solutions, focusing on analysing image and video data to solve practical problems. You'll work on creating algorithms and models to enhance visual data processing.

Drive AI governance, responsible AI and adoption strategy.

Lead enterprise AI transformation and client advisory.

As a Senior Manager, Data Stewardship & Quality, you will oversee data governance and ensure data accuracy and consistency. You will work closely with teams to maintain data quality standards and support analytics initiatives.

This role leads the benchmarking and technology cost optimization engine, transforming complex client data into actionable savings opportunities and executive-level insights. The position combines analytics, procurement expertise, and strategic advisory to help investors and business leaders improve technology value, efficiency, and profitability.

The Data Engineer will work closely with the analytics team to design, build, and maintain data pipelines and infrastructure for the chemical industry. The role requires technical expertise in data engineering to support data-driven decision-making in a manufacturing environment.

The Fabric & BI Engineer will be responsible for developing and maintaining business intelligence solutions and ensuring seamless data integration across platforms. This role in the financial services industry requires a strong understanding of analytics and data management.

The Global Practice Head role is a strategic leadership role responsible for building and scaling the client's Data & Analytics practice by owning the full lifecycle-from product strategy and development to go‑to‑market and presales execution. The individual will lead GTM strategy, shape large deals, and drive end‑to‑end presales, while also building high-performing teams, forming technology partnerships, and delivering revenue growth.

The AI Solution Architect will play a crucial role in designing and implementing cutting-edge AI-driven solutions within the chemical industry. Based in Mumbai, this role requires a strong understanding of analytics and its applications in industrial and manufacturing processes.

The Head AI will lead the analytics department, driving AI initiatives to enhance decision-making and operational efficiency within the chemical industry. This role is based in Mumbai and requires a strategic thinker with expertise in artificial intelligence and its application in industrial and manufacturing contexts.

The Global Delivery Head for Data & Analytics is a senior leadership role responsible for driving end-to-end delivery of data, analytics, and AI programs across the India delivery organization. They will build and scale delivery capabilities, manages cross-functional teams (data engineering, BI, data science, AI/ML), and ensures adoption of best practices in data architecture, governance, and analytics transformation.

The Data Analyst_Rural role in the Financial Services industry focuses on leveraging analytics to drive insights and support decision-making in Retail Banking & Loans Providers. This permanent position based in Bandra (East), Mumbai, requires a professional with a strong analytical mindset and an understanding of the banking sector.

Build and deploy AI-led solutions while embedded with business teams.

Own outcomes, not just code.

As an EXL_Agentic AI Architect,you will be responsible for defining and governing enterprise‑scale cloud, infrastructure, DevSecOps, security, and agentic‑AI-ready architectures. The leader shapes multi‑cloud and hybrid strategies, establishes reference architectures and guardrails, drives high levels of automation and efficiency, and ensures platforms are secure‑by‑design, scalable, and aligned to business outcomes.

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.

As an AI Architect Lead, you will design, develop, and implement AI solutions to address complex business challenges in the Technology & Telecoms industry. Based in Gurgaon, this role requires expertise in analytics and infrastructure to drive innovative projects and deliver measurable results.

This role focuses on driving supply chain transformation by working closely with business teams implementing planning solutions and ensuring adoption. You'll act as the bridge between business and tech translating requirements into scalable outcomes

It's a high-ownership individual contributor role involving stakeholder management vendor coordination end-to-end delivery with a strong focus on business impact rather than pure technical execution

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.