Product Analyst

Tamasha; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Tamasha is seeking an experienced Product Analyst to turn raw numbers into clear product decisions. You will work at the heart of our Product team across multiple apps, turning behavioural data into actionable insights that influence features used by millions daily.

You will build and maintain dashboards, run A/B experiments, and partner with Product, Design, Engineering and Growth to shape the data narrative behind major bets. Strong SQL, storytelling, and ownership are essential.

Qualifications

• 5+ years of experience in product analytics or similar data-focused role.
• Strong proficiency in SQL and large datasets.
• Experience with dashboarding tools such as Metabase, Amplitude, or Tableau.
• Solid grasp of funnel analysis, cohort analysis, and A/B testing fundamentals.
• Excellent communication skills to translate data into a clear narrative for non-technical stakeholders.
• Experience with Python or R for deeper statistical analysis.
• Exposure to consumer apps with large user bases.
• Experience mentoring junior analysts or leading analytics for a product charter independently.

Responsibilities

• Analyse user behaviour, engagement metrics, funnels and retention cohorts to surface insights.
• Build and maintain dashboards to track product and business KPIs.
• Translate complex datasets into clear, digestible insights for product, design and leadership teams.
• Design, run and analyse A/B experiments in partnership with product managers.
• Define success metrics and guardrail metrics for new feature launches.
• Own weekly and monthly performance reporting across charter apps.
• Prepare data-backed presentations for leadership reviews.

Skills

Analytical thinking

Storytelling with data

Ownership mindset

Python/R

Tools

SQL

Metabase

Amplitude

Tableau

Job description

We are looking for an experienced Product Analyst who is sharp, curious, and thrives on turning raw numbers into clear product decisions. You will sit at the heart of our Product team, working across one or more of our six apps to uncover insights hiding in behavioural data, funnels, and cohorts. This is a high-visibility role for someone who has already built a strong analytical foundation and is ready to independently drive the data narrative behind major product bets. You will partner closely with Product Managers, Design, Engineering, and Growth teams, and your analysis will directly shape features used by millions of people every day.

Responsibilities:

• Analyse user behaviour, engagement metrics, funnels, and retention cohorts to surface actionable insights.
• Build and maintain dashboards (SQL, Metabase, Amplitude, or similar tools) to track product and business KPIs.
• Translate complex datasets into clear, digestible insights for Product, Design, and Leadership teams.
• Proactively flag anomalies, trends, and opportunities across the user lifecycle.
• Design, run, and analyse A/B experiments in partnership with Product Managers.
• Define success metrics and guardrail metrics for new feature launches.
• Build hypotheses backed by data and help prioritise the product roadmap.
• Conduct pre- and post-launch impact analysis for shipped features.
• Own weekly and monthly performance reporting across charter apps.
• Prepare data-backed presentations for leadership and Co-Founder reviews.
• Partner with Data Science and Analytics teams on predictive models and personalisation efforts.
• Support PRDs and product specs with relevant data context and sizing.
• Assist in user research, surveys, and usability studies to understand user segments.
• Track competitive and market trends across live streaming, social gaming, and creator economy platforms.

Requirements:

• 5+ years of experience in product analytics, business analytics, or a similar data-focused role.
• Strong proficiency in SQL and comfort working with large datasets.
• Experience with dashboarding and visualisation tools such as Metabase, Amplitude, or Tableau.
• Solid grasp of funnel analysis, cohort analysis, and A/B testing fundamentals.
• Excellent communication skills, able to translate data into a clear narrative for non-technical stakeholders.
• High ownership mindset with a track record of independently driving analysis for high-stakes product decisions.
• Experience with Python or R for deeper statistical analysis.
• Exposure to consumer apps with large user bases (1M+ DAU).
• Familiarity with Mixpanel, CleverTap, or Firebase.
• Prior experience in social entertainment, gaming, or creator economy platforms.
• Experience at a high-growth startup (Series A-C stage).
• Experience mentoring junior analysts or leading analytics for a product charter independently.