Decision Analytics - Product Analytics Expert

Location- PAN India

Experience required-9 - 12 Years

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Title :

Decision Analytics – Product Analytics Expert

Your Role

As a

Product Analytics Expert

, you will leverage advanced analytics to shape product strategies, optimize user experiences, and drive measurable business outcomes. You will work closely with product managers, UX researchers, and engineering teams to deliver actionable insights that influence decision-making.

In this role, you will play a key role in :

Applying analytics to solve complex product challenges and improve user engagement.

Designing and executing A / B tests, setting hypotheses, and interpreting results to guide product decisions.

Utilizing web analytics tools and tagging frameworks to capture and analyze user behavior.

Translating complex data into clear, compelling insights that influence product strategy.

Collaborating cross-functionally with product, UX, and engineering teams to deliver impactful solutions.

Your Profile

You are a data-driven professional with strong technical expertise and a passion for improving product performance through analytics.

Top 5 Technical Skills :

SQL & Python

– for data manipulation, analysis, and insight generation.

Web Analytics & Tagging

– experience with Adobe Analytics / Adobe Experience Platform.

A / B Testing & Experimentation

– statistical techniques, hypothesis setting, and interpretation.

Data Visualization & Reporting

– proficiency in Tableau for dashboards and automated reporting.

Cross-functional Collaboration

– ability to work with product managers, UX researchers, and engineers.

Must-Have (Essential) :

8+ years applying analytics to solve complex product challenges.

Strong SQL & Python skills for data manipulation and analysis.

Proficient experience with web analytics tools and tagging (Adobe Analytics / AEP preferred).

Skilled in A / B testing and advanced interpretation of user behavior impact.

Strong communication and storytelling skills to influence product strategy.

Proven experience in cross-functional collaboration.

Good-to-Have (Desirable) :

Degree in Computer Science, Statistics, Mathematics, or Physical Sciences.

Experience with data governance, ROI analysis, and reporting requirements.

Prior work in fast-paced, global organizations.

Expertise with Tableau dashboards and automated reporting.

Experience with product data in the travel domain.

Strong operational improvement mindset.

What you'll love about working here

You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.

You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.

At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.