Product Analyst -iGaming

Real people. Real impact. One team.
Let’s Start With a Hello

We’re not just filling a role — we’re looking for someone who wants to understand users deeply, challenge assumptions, and turn data into confident product decisions.

Who We Are

 We are  a fast-growing international iGaming company building data-driven products across multiple markets.
We believe that strong products are built where analytics, product thinking, and curiosity meet.

If you enjoy asking “why?”, validating ideas with data, and seeing your insights directly shape the product — you’ll feel at home here.

What You’ll Be Doing

• Conduct product and user research to support strategic decisions
• Identify growth opportunities through data analysis, correlations, and behavioral patterns
• Design, run, and analyze A/B tests and experiments
• Write and optimize analytical code using SQL and Python
• Build clear visualizations, dashboards, and reports for product and business teams
• Evaluate and prioritize product hypotheses together with Product Managers
• Deliver ad-hoc analytics to support fast, informed decisions

 What Makes You a Great Fit

• 1+ year of experience as a Product Analyst in an iGaming product
• Strong understanding of relational databases and confidence with SQL-like languages
• Solid knowledge of probability theory and mathematical statistics
• Hands-on experience with A/B testing and experimentation
• Experience building insightful data visualizations (Tableau, Power BI, Python, Proteus, etc.)
• Ability to see real user behavior behind the numbers and clearly explain why it changed
• A proactive mindset: you independently explore problems, ask the right questions, gather data, and turn insights into action

Nice to Have (But Not Required)

• Advanced knowledge of statistics and probability theory
• Experience with alternative hypothesis-testing methods:
  ML-based approaches, cohort analysis, synthetic control, etc.
• Strong Python skills and experience with libraries such as
  pandas, NumPy, Matplotlib, sklearn, SciPy, Prophet
• Background in business analysis and requirements discovery
• Ability to define product or business metrics, decompose them, and build metric trees
• Understanding of dependency analysis in data:
  distribution estimation, delta method, linearization

Why You’ll Enjoy Working With Us

• Real influence on product decisions, not “analytics for analytics”
• Close collaboration with Product, Marketing, and Tech teams
• Freedom to test hypotheses, challenge ideas, and propose better solutions
• A culture that values clarity, ownership, and thoughtful decisions