Game Economy & Data Analytics Analyst

The Adecco Group

Polska

Remoto

PLN 200.000 - 320.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Beat Games Studio is seeking a senior Game Economy & Data Analytics Analyst to own data-driven understanding of the game economy, player behaviour, and commercial performance. You will build frameworks for economy health measurement and provide data-backed recommendations to influence product direction.

You will independently drive analytics projects, collaborate with game design, production, engineering, and marketing to refine economy systems and measure impact across Beat Saber and future

Competenze

  • 8+ years in game product management, game analytics, game economy design, data science, or a closely related analytical role in gaming
  • Strong proficiency in SQL and at least one analytical/scripting language (Python, R)
  • Experience with game economy systems — progression, currencies, pricing, virtual goods, sinks/sources
  • Demonstrated ability to define and track KPIs for engagement, retention, and monetization
  • Experience building dashboards and reports (Tableau, Looker, or equivalent)
  • Strong communication skills — ability to distil complex data into clear narratives for game designers, producers, and leadership
  • Understanding of player behaviour and motivation (segmentation, lifecycle, cohort analysis)
  • Comfort with ambiguity and early-stage product environments
  • Experience with live-service games (F2P, GaaS) and live ops analytics
  • Familiarity with VR/MR gaming or the Quest ecosystem
  • Experience with predictive modeling (LTV, churn, forecasting)
  • Knowledge of A/B testing and causal inference methodologies
  • Understanding of the music/rhythm game genre or Beat Saber specifically
  • Experience working in a small, autonomous studio environment within a larger organisation
  • Interest and experience in applying AI to game analytics and economy design — e.g. using AI tools to accelerate analysis, model player behaviour, or generate insights
  • Familiarity with large-scale data analytics platforms, SQL-based query engines, and internal dashboarding or business intelligence tools.

Mansioni

  • Economy Design & Balance: Own the analytical framework for game economy health across Beat Saber and the next major update in 2027
  • Data Analytics & Insights: Define, instrument, and monitor KPIs for game health, engagement, retention, and monetization
  • Forecasting & Modeling: Develop predictive models for revenue, player lifecycle (LTV), retention, and content performance
  • Live Operations Support: Provide real-time analytics support for live events, music pack releases, and seasonal campaigns
  • Strategic Recommendations: Generate data-informed opinions on levers moving long-term game performance

Conoscenze

SQL
Python
R
Game economy design
KPI definition
Dashboards
Communication
Live ops analytics
A/B testing
Predictive modeling
LTV forecasting
Beat Saber familiarity
AI in analytics
VR/MR gaming
Data storytelling

Strumenti

Tableau
Looker

Descrizione del lavoro

Role - Game Economy & Data Analytics Analyst

Duration - 12 Months

Location - Remote Poland

Overview:

We are looking for a Game Economy & Data Analytics Analyst to own the data-driven understanding of our game economy, player behaviour, and commercial performance. This role sits at the intersection of game design, data science, and business strategy — turning player data into actionable insights that directly shape how our games are built, balanced, and operated.

You will be an established senior individual contributor who independently drives analytics projects, builds frameworks for economy health measurement, and provides data-backed recommendations that influence product direction. You will operate with minimal oversight and proactively identify opportunities and risks in our game systems.

The Team:

You will work within Beat Games Studio, reporting to the Head of Production. Your primary partners will be:

  • Game Design — collaborating on economy design, progression systems, pricing, and balance
  • Production — aligning analytics priorities with release roadmap and live ops cadence
  • Engineering — collaborating on analytics systems and design to refine and improve game analytic data and resulting insights
  • Marketing — supporting campaign measurement, user acquisition insights, and content drop performance

Collaborate with central analytics and data science teams to leverage established data infrastructure, analytical tools, and best practices.

Analyse platform-level performance metrics and industry benchmarks to understand game performance and identify growth opportunities.

Key Responsibilities
Economy Design & Balance
  • Own the analytical framework for game economy health across Beat Saber and the next major update in 2027
  • Model and simulate currency flows, sinks & sources, progression curves, and reward structures
  • Provide data-backed recommendations on pricing strategy, content valuation, and monetization levers
  • Assess the impact of adding, removing, or updating content on player engagement and revenue
  • Partner with game designers to validate and tune economy systems pre- and post-launch
Data Analytics & Insights
  • Define, instrument, and monitor key performance indicators (KPIs) for game health, engagement, retention, and monetization
  • Build and maintain dashboards and reporting cadences for studio leadership
  • Conduct deep-dive analyses on player behaviour, cohort performance, and feature impact
  • Investigate metric movements, identify root causes, and recommend actions
  • Translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders
Forecasting & Modeling
  • Develop predictive models for revenue, player lifecycle (LTV), retention, and content performance
  • Support content planning decisions with quantitative frameworks
  • Benchmark studio performance against industry standards and comparable titles
Live Operations Support
  • Provide real-time analytics support for live events, music pack releases, and seasonal campaigns
  • Measure and optimise the commercial and engagement impact of live content
  • Track content performance post-launch and feed learnings back into planning cycles
  • Support A/B testing and experimentation design where applicable
Strategic Recommendations
  • Generate data-informed opinions on what levers move long-term game performance
  • Identify growth opportunities, underperforming areas, and risks to game health
  • Contribute analytical input to the economy architecture for the next major update to Beat Saber in 2027
  • Present insights and recommendations to studio leadership
Skills & Qualifications:
Required
  • 8+ years in game product management, game analytics, game economy design, data science, or a closely related analytical role in gaming
  • Strong proficiency in SQL and at least one analytical/scripting language (Python, R)
  • Experience with game economy systems — progression, currencies, pricing, virtual goods, sinks/sources
  • Demonstrated ability to define and track KPIs for engagement, retention, and monetization
  • Experience building dashboards and reports (Tableau, Looker, or equivalent)
  • Strong communication skills — ability to distil complex data into clear narratives for game designers, producers, and leadership
  • Understanding of player behaviour and motivation (segmentation, lifecycle, cohort analysis)
  • Comfort with ambiguity and early-stage product environments
  • Experience with live-service games (F2P, GaaS) and live ops analytics
  • Familiarity with VR/MR gaming or the Quest ecosystem
  • Experience with predictive modeling (LTV, churn, forecasting)
  • Knowledge of A/B testing and causal inference methodologies
  • Understanding of the music/rhythm game genre or Beat Saber specifically
  • Experience working in a small, autonomous studio environment within a larger organisation
  • Interest and experience in applying AI to game analytics and economy design — e.g. using AI tools to accelerate analysis, model player behaviour, or generate insights
  • Familiarity with large-scale data analytics platforms, SQL-based query engines, and internal dashboarding or business intelligence tools.
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