Product Analyst

Role Overview

What You’ll Do

• Own metrics for core journeys-define KPIs, build simple, reliable dashboards, and keep a close eye on product health across funnels (activation, engagement, monetization).
• Write robust SQL to query our warehouse, create reusable datasets, and document metric definitions so everyone speaks the same language.
• Build lightweight scripts/services (Python/JavaScript) to fetch/enrich data via APIs; automate recurring analysis where it saves time.
• Design and analyze A/B tests and quick experiments; ensure good methodology without over-engineering.
• Run cohort, segmentation, and behavioral analyses to uncover actionable patterns and opportunities.
• Partner with PMs to size opportunities, craft hypotheses, and recommend clear decisions.
• Collaborate with Engineering to set up event taxonomy and instrumentation; proactively fix data quality issues.
• Tell the story-turn analysis into concise narratives and recommendations that lead to product changes.
• Pitch in where needed: from ad-hoc deep dives and anomaly investigations to building scrappy tooling for the team.
  

What Makes You a Fit

• 2-5 years in product or business analytics at consumer tech (B2C), ideally in fast-paced or early-stage environments.
• Strong SQL and hands-on experience with BigQuery (clickstream data) is a must.
• Hands on experience with Google Apps Script to automate repetitive tasks.
• Practical grasp of experimentation (A/B testing), cohort analysis, and customer segmentation.
• Familiarity with product analytics tools (Mixpanel, Amplitude, PostHog) and BI tools (Looker, Tableau, Power BI) or equivalent scrappy setups.
• Solid statistical fundamentals (hypothesis testing, confidence intervals, regression) applied pragmatically.
• Clear communicator who can distill complex analysis into simple, actionable insights for non-analysts.
• Bias for action: you document, instrument, fix broken metrics, and close loops.
• Bonus: experience with event taxonomy design, recommendation systems, or API integrations.
  

Why join us (early-stage realities)

• Real ownership: your insights will directly shape what we ship next week, not next quarter.
• Fast feedback loops: work onsite with the core team, test quickly, and iterate based on live user signals.
• Growth: broaden your scope across analytics, experimentation, instrumentation, and product strategy.
• Competitive salary and benefits; upside in building something users love from the ground up.
  

Location & Work Setup

• Bangalore BeBetta Corporate Office; onsite, Monday-Friday & Sat - WFH.
  

How Success Will Be Measured

• Adoption and trust in your metrics/dashboards across the team.
• Clear, measurable lifts in activation, engagement, retention, or monetization from your recommendations.
• Data hygiene: accurate events, documented definitions, reliable pipelines.
• Speed to insight and the quality of decisions enabled by your work.