Data & Analytics Manager
2 tygodni temu
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GOG is a leading global games marketplace, generating $50M in annual revenue with millions of monthly active users. With over 9,000 products in our catalog, we house the largest collection of classic games and maintain a significant presence in indie, AA, and AAA games. As part of the CD Projekt Group (publicly listed on the Warsaw Stock Exchange: CDR:WSE), creators of the acclaimed Cyberpunk 2077 and The Witcher series, we are on a mission to make games last forever by helping people across generations fall in love with games.
The OpportunityWe're looking for a Data & Analytics Manager to drive GOG's data strategy and lead our analytics practice. In this role, you'll shape how we use data to make product decisions, optimize our marketplace, and enhance our user experience. You'll lead a talented team of data scientists, analysts, and engineers while maintaining hands-on involvement in key analyses and strategic initiatives. This role reports to the Head of Product.
- Unique opportunity to enter a booming industry and to influence the future of gaming,
- Work on a global and highly creative business and industry,
- Hybrid model of work with a possibility to have an office-first, remote-first or fully remote structure depending on your role's responsibilities & requirements (it is necessary in case of this role to work from the office several times a month),
- Access to a health care and sports activities package, including free psychologist appointments,
- Possibility to take paid Menstrual Leave for all menstruating employees,
- Active employee networks for LGBTQIA+ employees, women of GOG and parents,
- Frequent social activities, free fruits/coffee/tea, an in-house cantina, and other goodies are a standard,
- An in-house gym, open 24/7, available exclusively for our employees,
- Free access to all games from the GOG catalogue, including The Witcher franchise and Cyberpunk 2077,
- Gamer's paradise where you will be surrounded by games - living & breathing them
- Dog-friendly environment – yes, you can bring your four-legged friend to work
This is your chance to shape the future of data at GOG, building the tools and insights that power unforgettable gaming experiences and keep players engaged worldwide
Your ImpactStrategic Leadership (40% of role)
- Develop and execute GOG's data strategy, identifying opportunities for leveraging analytics and machine learning to drive business growth
- Partner with Product and Marketing leaders to define and track key metrics, ensuring data-driven decision making across the organization
- Lead and mentor a small team of data scientists, analysts, and a data engineer, fostering a culture of experimentation and analytical rigor
Hands-on Analytics (60% of role)
- Drive key analyses using our analytics stack (Metabase, PostHog, SQL) to uncover actionable insights about user behavior, game performance, and marketplace dynamics
- Design and analyze experiments to optimize conversion, retention, and engagement
- Develop predictive models to enhance our understanding of user behavior and game performance
- Build and maintain dashboards and reporting systems that enable teams to make data-driven decisions
- Develop and implement experimentation frameworks for product features and marketing initiatives
- Create predictive models for user behavior and game performance
- Design and track metrics for new product features and initiatives
- Build automated reporting and alerting systems for business KPIs
- Optimize our marketplace mechanics through data-driven insights
You'll lead a high-performing team consisting of:
- Data Scientists focused on predictive modelling and recommendation engines
- Data Analyst supporting day-to-day reporting and analysis
You'll work closely with:
- Product Managers to define success metrics and analyze feature performance
- Marketing team to optimize user acquisition and engagement
- Executive team to inform strategic decisions
- 5+ years of analytics experience, with at least 2 years leading analytics teams
- Strong hands-on experience with SQL and data visualization tools
- Experience building and maintaining analytics infrastructure
- Track record of driving product decisions through data
- Experience with A/B testing and experimental design
- Strong statistical knowledge and experience with predictive modeling
- Excellence in stakeholder management and executive communication
- Expert in SQL and data visualization (Metabase)
- Experience with product analytics tools (PostHog or similar)
- Statistical analysis and experimentation design
- Python or R for data analysis
- Experience leading and mentoring technical teams
- Strong project management and prioritization abilities
- Excellence in cross-functional collaboration
- Ability to translate complex analyses into actionable insights
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