Product Analyst

Posted 7 hours ago

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About the role

  • Product Analyst optimizing ARRISE’s iGaming products through KPI analysis, A/B testing, and player-behavior insights. Building dashboards and recommendations for product and game-design decisions.

Responsibilities

  • 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

  • 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

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

BigQueryNumpyPandasPythonSQLTableau

Location requirements

RemoteWorldwide

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