Interested in Product Analytics? PW Is Hiring a Senior Product Analyst: Could Your Data Skills Be a Match?

Product analytics requires more than working with data. You need to understand user behaviour, track product performance, analyse experiments and turn data into insights that support business decisions. Physics Wallah’s Lead Product Analyst role brings these skills together, with a focus on product strategy, KPIs, experimentation and cross-functional collaboration.

PW Lead Product Analyst Job 2026

What Will You Do as a Lead Product Analyst at PW?

The role covers product analytics, user behaviour analysis, experimentation and data-driven decision-making. You will work with product and business teams to turn data into actionable insights.

Key responsibilities include:

• Lead product analytics initiatives

• Analyse user behaviour, trends and drop-offs

• Identify product improvement opportunities

• Define and track KPIs and product metrics

• Build data collection and reporting processes

• Analyse A/B tests and experiments

• Conduct cohort analysis

• Generate business insights from data

• Support data-driven product decisions

• Collaborate with Product, Design, Engineering and Business teams

• Mentor and guide junior product analysts

What Do You Need to Become a Lead Product Analyst at PW?

The role requires a combination of product analytics, technical data skills and business understanding. You should be comfortable working with data, analysing user behaviour and communicating insights to different stakeholders.

1. Product and Business Analytics

You should have strong experience in product or business analytics, with the ability to use data to understand product performance and support business decisions.

2. SQL and Data Analysis

Strong SQL skills are important for working with datasets, extracting relevant information and analysing product and user data.

3. Python or R

Experience with Python or R can help with data analysis, statistical work and handling analytical tasks beyond SQL.

4. Data Visualisation

You should be comfortable presenting insights through data visualisation tools such as Tableau and creating reports that make analytical findings easier to understand.

5. A/B Testing and Experimentation

Knowledge of A/B testing and experimentation is required to analyse different product approaches and understand their impact on user behaviour and product performance.

6. Cohort and User Behaviour Analysis

You should understand cohort analysis and user behaviour analysis to identify patterns, engagement trends and areas where the product experience can be improved.

7. KPI Development and Tracking

The role requires the ability to define, monitor and interpret KPIs and product metrics that help teams measure product performance.

8. Communication and Cross-Functional Collaboration

You should be able to communicate analytical findings clearly and work with Product, Design, Engineering and Business teams to turn insights into actionable decisions.

9. Leadership and Mentoring

As a lead-level professional, you will also be expected to guide junior analysts, contribute to analytical initiatives and support the development of the wider analytics team.

Looking to Build Skills for a Product Analytics Career?

A career in product analytics requires a combination of data analysis, visualisation, business understanding and practical analytical skills. PW Skills offers relevant programmes that can help you strengthen these areas.

• Want to build your data analytics skills? Explore the Data Analytics With AI Course by PW Skills to develop skills in data analytics and AI-powered workflows.

• Want to develop broader data science and Generative AI skills? Explore the Data Science With Generative AI Course by PW Skills.

• Want to strengthen your data visualisation skills? Explore Mastering Data Visualization With Power BI and MS Excel to build skills in dashboards, reporting and data visualisation.

Check the latest job details and submit your application through the official PW job listing.