CrazyGames seeks a Sr. Digital Analyst for ad monetization to optimize revenue through data analysis and collaboration with cross-functional teams. Key responsibilities include understanding product metrics, improving data quality, and driving data-driven monetization strategies. Required skills include strong SQL proficiency, experience with BI tools, and a background in digital analytics. The role offers flexible working conditions and opportunities for team-building activities in Europe.
CrazyGames is a leading browser games platform, serving millions of users worldwide. We leverage innovative advertising technologies to optimize monetization while delivering a seamless gaming experience to 50M users, every month. As we continue to expand, we’re looking for a Sr. Digital Analyst to join our mighty Monetization team, owning the data and analytics that powers Ads. In this role, you will 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. You will 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. Key Outcomes for this role • Within 1 month ◦ You have an understanding of CrazyGames’ product, ad tech stack and key metrics ◦ You understand and reviewed our tracking setup and internal and external reporting tools ◦ You start contributing to basic analyses and validating existing dashboards • Within 3 months ◦ You are able to query and validate our datasets independently using SQL ◦ You’ve identified immediate opportunities to improve data quality and revenue insights ◦ You perform revenue reconciliation and discrepancy analysis across systems and partners ◦ You build or improve dashboards in tools like Preset, Burt, or similar BI tools ◦ You ensure stakeholders (Product, Ads, Finance) have reliable and actionable reporting ◦ You begin identifying optimization opportunities through data analysis • Within 6 months ◦ You identify revenue leakage, inconsistencies, and performance issues through automated alerts and dashboards ◦ You own the design and validation of event tracking and measurement frameworks ◦ You improve data pipelines (extraction, cleaning, transformation) and ensure data reliability ◦ You collaborate on yield optimization initiatives by providing deep analysis and insights • Within 12 months ◦ You are a key driver of data-driven monetization strategy and decision-making ◦ You contribute to dynamic optimization logic (e.g. flooring, traffic shaping, traffic allocation strategies) ◦ You ensure best-in-class reporting and visualization across the organization ◦ You are a trusted partner to leadership on analytics, measurement, and revenue performance What we offer • A lot of responsibility and freedom. We hire experts and trust them to deliver excellent results • Flexible working hours and location. The results are what count! • 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. Job requirements Reach out if • You have 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. • You have strong SQL skills (must-have) • You have experience working with BI tools (e.g. Preset, Burt, Looker) • You are comfortable working across the full data stack: extraction, cleaning, manipulation, and reporting • You have experience with digital analytics tools (e.g. GA4, GAM) • You are comfortable working with imperfect, non-ready data and building reliable datasets • You are the most nosy and inquisitive person, wanting to understand how everything works and how you can make it better • You have an eye for detail and for the big picture. You can quickly spot patterns in large amounts of data and love some detective work if something feels off • You communicate clearly and can translate complex data into actionable insights • You are 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 Please note that we're looking for candidates in Europe (including the UK!), Africa or the Middle East, in order to have enough time to overlap with Europe (where most of our team is).
CrazyGames