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CrazyGames

CrazyGames is a browser games platform on which over 250,000,000 instant gameplays take place every month.

Senior Digital Analyst, Ad Monetization

AnalystAnalystFull TimeRemoteSeniorTeam 11-50Since 2013H1B No SponsorCompany SiteLinkedIn

Location

Belgium

Posted

62 days ago

Salary

0

Seniority

Senior

EnglishSQL

Job Description

Senior Digital Analyst, Ad Monetization

CrazyGames

• Optimize ad revenue by identifying opportunities and uncovering hidden issues, using clever data design, analysis, experimentation, and close collaboration with the cross-functional Ads team to drive revenue gains. • Report to Monetization and partner closely with Product, Data, and Finance to ensure the right data, tracking, and reporting are in place to support decision-making and revenue growth. • Within 1 month: Understanding of CrazyGames’ product, ad tech stack and key metrics. • Within 3 months: Able to query and validate datasets independently using SQL; identify immediate opportunities to improve data quality and revenue insights; perform revenue reconciliation and discrepancy analysis across systems and partners; ensure stakeholders have reliable and actionable reporting; begin identifying optimization opportunities through data analysis. • Within 6 months: Identify revenue leakage, inconsistencies, and performance issues through automated alerts and dashboards; own the design and validation of event tracking and measurement frameworks; collaborate on yield optimization initiatives by providing deep analysis and insights. • Within 12 months: Be a key driver of data-driven monetization strategy and decision-making; ensure best-in-class reporting and visualization across the organization; be a trusted partner to leadership on analytics, measurement, and revenue performance.

Job Requirements

  • Relevant experience in a similar role, either at a publisher, agency or an ad tech company, with a strong understanding of programmatic advertising and monetization data.
  • Strong SQL skills (must-have).
  • Experience working with BI tools (e.g. Preset, Burt, Looker).
  • Comfortable working across the full data stack: extraction, cleaning, manipulation, and reporting.
  • Experience with digital analytics tools (e.g. GA4, GAM).
  • Comfortable working with imperfect, non-ready data and building reliable datasets.
  • The most nosy and inquisitive person, wanting to understand how everything works and how you can make it better.
  • An eye for detail and for the big picture.
  • Ability to spot patterns in large amounts of data and love some detective work if something feels off.
  • Clear communication skills to translate complex data into actionable insights.
  • Comfortable working cross-functionally with product, engineering, ads, and finance teams.
  • Nice to have: Background in mathematics, statistics, or a related field.
  • Experience with optimization algorithms (e.g. multi-armed bandits, experimentation frameworks).
  • Experience building or working with custom tracking systems.

Benefits

  • A lot of responsibility and freedom.
  • Flexible working hours and location.
  • Team weeks: we organize a week somewhere in Europe once or twice per year. We pay for transport and accommodation so you can have fun with the team.
  • The opportunity to play games and claim its work.

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