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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical analysis, A/B testing, and data visualization to drive product insights and recommendations. Proficient in SQL and BI tools, with a strong foundation in data analysis and the ability to communicate findings effectively to diverse stakeholders.
Highest-signal resume keywords
SQL SkillsA/B Testing Design and AnalysisBI Visualization Tools (Tableau, Power BI)Statistical Methods (Regression, Segmentation)Experience in iGaming or Online Gaming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisData AnalysisHypothesis TestingRegression AnalysisSegmentationData ModelingAutomated DashboardsProduct KPIsFeature Adoption MetricsPlayer Experience Metrics
Soft Skills
Analytical ThinkingAttention to DetailStructured Problem SolvingExcellent CommunicationCollaboration
Tools & Technologies
Python (Pandas, NumPy)RAmplitudeMixpanelSegmentSnowflakeBigQueryDbtExcel (Pivot Tables)Agile Methodologies
Industry Keywords
IGamingOnline GamingProduct AnalysisData WarehousingCross-Functional Teams
Tech Stack
Tools & technologiesBigQueryNumpyPandasPythonSQLTableau
About the role
Key responsibilities & impact- Partner with Product Managers and game designers to define, track, and evolve core product KPIs across the game portfolio
- Design, run, and analyze A/B tests and product experiments
- Conduct deep-dive analyses of player behavior and product usage to uncover trends, friction points, and opportunities
- Apply statistical techniques including hypothesis testing, regression, and segmentation/clustering for forecasting and behavioral modelling
- Build and maintain automated dashboards and self-serve reporting for product KPIs, feature adoption, and player experience metrics
- Perform recurring analysis of product and feature performance across markets, operators, and product verticals
- Translate quantitative findings into actionable recommendations for Product, Game Design, and Executive stakeholders
- Support ad-hoc analytical requests related to product prioritization, feature launches, and roadmap decisions
- Identify strengths and weaknesses in product performance and present findings to technical and non-technical audiences
Requirements
What you’ll need- Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
- 5+ years of experience in a product analyst, data analyst, or similar analytical role
- Experience in iGaming or online/mobile gaming is a strong advantage
- Strong SQL skills with experience querying large, complex datasets — must have
- Proficiency in at least one BI visualization tool (Tableau or Power BI) — must have
- Practical experience designing and analysing A/B tests or product experiments, including hypothesis testing and interpreting results — must have
- Working knowledge of statistical methods: regression, segmentation, and hypothesis testing applied to product and behavioural data
- Strong analytical thinking, attention to detail, and a structured approach to problem solving
- Excellent communication skills, with the ability to translate complex data into actionable recommendations
- Ability to work independently and collaborate effectively as part of a cross-functional team
- Business fluency in written and spoken English
- Experience with Python (Pandas, NumPy) or R for data analysis and automation
- Familiarity with product/event-tracking analytics tools such as Amplitude, Mixpanel, or Segment
- Knowledge of data warehousing concepts and the modern data stack, including Snowflake, BigQuery, and dbt
- Advanced Excel skills, including pivot tables and data modelling
- Experience working in agile, cross-functional product teams
