Lead Data Analyst

Goodgame Studios ist eine Abteilung der Altigi GmbH
Hamburg, Germany
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Big Data BigQuery Mobile Application Development Code Review Data Infrastructure Apache Hive Python (Programming Language) NumPy Query Optimization Power BI
+8 more
SQL Databases Tableau (Software) Scripting Large Language Models Apache Spark Data Analytics Looker Analytics Data Pipelines

Job description

Our games are played by millions of people daily. Every session leaves a trail: a level attempted eleven times, a bundle ignored, a player who quietly stopped opening the app on a Tuesday. Billions of these events land in our warehouse each month - and some of them are the difference between a game that grows and one that doesn’t. We’re looking for a Lead Data Analyst who wants to be handed a problem rather than a query request. You’ll decide what’s worth investigating, build the models and pipelines to investigate it, and defend the decision in front of leadership.

What You’ll Do

  • 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., * 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.

Bonus Points:

  • 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.

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.

About the company

Moonfrog 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. Data, Analytics & Data Platform ¡ Bengaluru

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on moonfroglabsbystillfront.teamtailor.com

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