Data Analyst supporting the operation of virtual power plants at DieEnergiekoppler GmbH. Analyze data, improve marketing potential, and support client operations in an agile environment.
About the role
- Staff Product Data Analyst handling game analytics for Big Viking Games' flagship titles. Partnering cross-functionally to optimize player experience and revenue with insightful data analysis.
Responsibilities
- End-to-end analytics & modelling
- Build and maintain dashboards (DAU, player spend, content performance, pricing effectiveness) for stakeholders across Product, Marketing and Finance.
- Analyze player behaviour, campaign performance and monetization trends to inform roadmap and live-ops tuning.
- Develop predictive models and forecasting pipelines (e.g. adoption curves, revenue projections, churn risk) using first-principles thinking.
- Lead A/B test design, impact analysis and lift measurement for Gem Events, Challenges, Reactivation Offers and new gameplay features (ex. SplashO, Storylines).
- Partner with FP&A to quantify cost savings and migration impacts
- Identify inefficiencies in IAP config, asset throughput and content velocity—recommend and build agentic workflows to streamline campaign planning and delivery.
- Collaborate with Data Engineering to operationalize data pipelines, enable self-serve analytics and embed predictive insights into product dashboards.
- Translate complex quantitative findings into clear, actionable recommendations for PMs, engineers and live-ops leads.
- Evangelize next-gen analytics best practices, mentor junior analysts and shape our data-driven culture.
Requirements
- 6+ years in product, business or game analytics—ideally in mobile or live-ops gaming
- Expert SQL skills; ability to wrangle messy data into clean, performant datasets
- Proficiency in Python or R and experience with ML libraries (scikit-learn, TensorFlow, etc.)
- Strong attention to detail, so you'll notice we'd like you to mention "Kattegat" in your application
- Hands-on experience building and maintaining BI dashboards (Looker, Tableau, Power BI or similar)
- Ability to blend descriptive analytics (“What happened? Why?”) with predictive insight (“What will happen? How can we optimize?”)
- Proven track record applying first-principles thinking to build and validate forecasting and predictive models that drove measurable product or revenue impact (validating assumptions, testing holdout samples, iterating on feature engineering)
- Ability to translate complex data insights into concise stories and actionable recommendations
- Experience with in-game economy design or IAP configuration
- Familiarity with A/B testing frameworks (Optimizely, Firebase, custom tooling)
- Background in automated data pipelines and agentic workflow tools
- Master’s degree in a quantitative field (Statistics, Economics, Computer Science) or equivalent experience
Benefits
- Competitive salary
- Group Retirement Savings Plan matching & participation
- Comprehensive benefits package (health, dental, and vision) including Health + Wellness spending account
- Generous time off policies
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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