Lead Data Analyst

About the Position

Lead Data Analyst who owns the problem from end-to-end, build models, dashboards, and pipelines that drive decisions in live games. Seek impact, not tickets.

Responsibilities

• Go deep, not wide. Run in-depth analyses that end in a decision: funnel drop-offs, cohort behaviour, segment deep-dives, feature post-mortems. Own the "why," not just the dashboard.
• Own the churn numbers. Know retention and churn cold - by cohort, level, segment, geo. Build churn prediction that fires early enough for an intervention to exist, then prove the intervention moved the metric.
• Predict player value. LTV and revenue forecasting the business can plan against - robust to seasonality, cohort mix, and content cadence.
• Tune the economy. Sources and sinks, currency inflation, reward-event faucets, bundle pricing and elasticity. Catch drift before players do.
• Understand paying and non-paying players. What separates them behaviourally, where the conversion moment actually sits, and what it means for pricing and content.
• Run experimentation properly. Design and analyze A/B tests: sizing and power up front, guardrail metrics, and the integrity to call a flat result flat.
• Own the data. Architect and optimise pipelines connecting game telemetry, the warehouse, and ML systems. Data quality, definitions and cost are yours, not just the final chart.
• Make leadership fluent. Turn analysis into narrative for Product and Engineering leadership - and hold up under challenge.
• Build self-serve and mentor. Dashboards (Metabase/Looker/Tableau) that answer the recurring questions, and a team of analysts you're actively raising the bar for.

Requirements

• 6–9 years in data analytics, ideally gaming, consumer tech, or mobile apps.
• Mastery of SQL - non-negotiable. This is the core of the job. Window functions, complex joins across billions of rows, query optimisation, and the discipline to write SQL someone else can read six months later. Most of your answers will start here.
• Strong Python for analysis and automation - pandas/numpy, scripting, and pipeline work.
• Judgment about Gen AI. You use LLMs where they earn their place - boilerplate SQL, code review, drafting, summarising qualitative data, exploratory scaffolding - and you don't where they don't: numbers you'll present, causal claims, anything you can't verify. You know the difference between a fast answer and a correct one, and you check.
• Big data and pipelines: Redshift, Athena, BigQuery, Hive or Spark, plus orchestration
• Real statistical foundations: experiment design, causal inference basics, quantitative modelling you can explain to a skeptic.
• Ownership: projects driven end-to-end, and people made better along the way.
• Education: Bachelor's or Master's in CS, Engineering, Statistics, Mathematics, or similar.
• Visualisation: Looker, Tableau, Metabase or Power BI.

Nice to Have

• Mobile gaming analytics - retention curves, in-game economy, monetisation, LiveOps.
• Experience standing up an experimentation platform or feature store.
• Anything you've shipped that changed a game design decision. If you've ever been frustrated that your best analysis ended in a slide instead of a shipped change - this is the other kind of job.

We Offer

• Competitive salary
• Opportunity to work in a leading mobile gaming company
• Professional growth and development

About the Company

Moonfrog Labs was founded in late 2013 by a team of industry veterans with the mission of making mobile gaming inclusive in India. With successful games like Ludo Club, Jalebi, and Teen Patti Gold, Moonfrog has learned not only to breathe life into evergreen family games but also continues to pioneer in the development of new mobile games, like Baahubali and Kalyug. Our unique and powerful engineering and product capabilities ensure that subscribers to our games receive a delightful and superior gaming experience.

Moonfrog Labs is part of Stillfront. Stillfront is a global gaming company with 1400+ employees. We develop a wide range of digital games that attract over 50 million players each month. From well-established franchises like Supremacy, Big Farm, and BitLife to niche games, we span many different genres, including strategy, simulation, RPG and action, and casual and mash-up games.