Data Analyst (CRM)

Навыки

• Amplitude
• Атрибуция
• BI-инструменты
• BigQuery
• CRM-системы
• Data Quality
• Excel

О компании и продукте

• Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
• Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Задачи

• Create and maintain dashboards that give CRM/Lifecycle Lead PMs visibility into the performance of their communication programs
• Experimentation Design & Governance
• Support CRM/Lifecycle Lead PMs in designing A/B and multivariate tests, ensuring appropriate sample sizes, holdout groups, and clean control conditions
• Maintain an experimentation log across all games to prevent conflicting tests and ensure results can be interpreted confidently
• Review proposed experiments for methodological soundness before launch
• Analyze and present experiment results with clear, actionable recommendations
• Cross-Portfolio Segment Insights
• Define and maintain segment definitions across the portfolio (e.g., VIP, Regular Customer, New Player, Lapsed, Conversion Candidate)
• Track how these segments behave and respond to CRM across multiple titles, identifying patterns and outliers
• Produce regular cross-game segment reports that help the Director of CRM and game teams understand what works universally versus what is title-specific
• Identify high-value segment opportunities that are underserved by current campaigns
• Data Integrity & Targeting Validation
• Validate that targeting attributes used in campaigns are correctly populated and reliably representing the intended audience
• Partner with Data Engineering to surface data quality issues and advocate for fixes
• Verify that audience sizes match expectations prior to campaign launch

Требования

• 4+ years in marketing analytics, CRM analytics, or a related data role - ideally in a behavior-based vs transactional environment - like gaming or live services
• Proficiency with SQL and at least one BI or reporting tool (e.g., Looker, Tableau, Mode, or equivalent)
• Experience working with CRM or marketing automation platforms to extract and interpret campaign data
• Experience with both performance data and attribution data and able to ensure appropriate tracking is in place
• Ability to represent data needs to engineers if necessary data options are not available
• Understanding of A/Bn testing methodology, statistical significance, and experiment design across a complex set of overlapping campaigns
• Ability to communicate data findings clearly to both technical and non-technical stakeholders
• Experience in games, apps, or a retention-driven consumer product is a strong plus
• Comfortable managing multiple reporting workstreams simultaneously across different game teams
• Experience in gaming as a player or operations manager preferred
• Technical Skills
• SQL (required)
• Excel / Google Sheets (advanced functions, pivot tables)
• BI tools (Looker, Tableau, Amplitude, etc.)
• Familiarity with event tracking tools (Segment, Snowflake, BigQuery, etc.)
• Basic understanding of data pipelines and data quality checks

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