#300204•Dodano Invalid Date•13•źródło: nofluffjobs.com
Senior Insights Analyst - Product Analytics
22 000 - 26 000 PLN(znormalizowane)
Doświadczenie
Senior
Lokalizacja
Kraków
Tryb pracy
Zdalnie
Wymiar
Full-time
SQLData visualizationTableauA/B Testingexperimentationexperience in high-volume user platformsCross-timezone coordinationPythonexperience in gaming industry
O ofercie
VGW is an interactive entertainment company delivering world-class, free-to-play online social games including Chumba Casino, Global Poker, and LuckyLand Slots, enjoyed by millions in North America. Their games operate on a freemium model with optional in-game purchases and sweepstakes promotions. VGW values player safety and responsibility.
Wymagania
- BA/MSc in Computer Science, Math, Statistics, Economics, or other quantitative fields.
- 5+ years experience with SQL and querying large databases.
- Experience with data visualization tools such as Tableau or PowerBI.
- Strong experience with experimentation and A/B testing, including understanding statistical significance and power analysis.
- Experience with programming languages and advanced analytics (Python, Cloud Data Warehouses, Claude).
- Prior experience in high-volume user platforms.
- Experience establishing analytics frameworks for new product features in a product-led environment.
- Ability to connect data insights to actionable recommendations for game and product business stakeholders.
- Proven ability to translate business problems into technical solutions and communicate data effectively.
Nice to have:
- Experience in the gaming industry.
- Python programming skills.
Obowiązki
- Define and evolve product success metrics to measure business and user outcomes.
- Analyze product and feature performance across user lifecycle stages: activation, engagement, retention, monetization.
- Identify friction points and behavioral drivers in user journeys to influence product prioritization.
- Define analytics and instrumentation requirements for new features from discovery through launch.
- Own data integrity and scalability of analytics foundations.
- Design and evaluate product experiments with defined success metrics and guardrails.
- Translate complex data into clear insights, visuals, and narratives for product and business decisions.
- Act as a strategic partner to Product, Design, and Engineering teams by surfacing insights shaping the roadmap.
- Align cross-functional teams on success measurement and metric interpretation.
- Communicate insights clearly to senior stakeholders for data-informed decision-making.
Benefity
- Training budget
- Small teams
- International projects
- No dress code
- Modern office
- Free beverages
- Free snacks
- Free parking