Revenue Analytics

Role overview Own revenue analysis for a portfolio of mobile publisher accounts, helping commercial teams measure launches, find growth opportunities, and make informed monetization decisions. The work spans measurement planning, performance reporting, demand partner analysis, and improvements to the tools and data that support account teams.

Responsibilities - Set pre-launch baselines and define measurement plans with partner-facing teams; prepare post-launch reports on revenue lift and performance by platform and demand source. - Analyze account performance to identify underperforming placements, gaps in demand, mediation issues, and opportunities to adjust pricing floors. - Track demand partner health using measures such as share of voice, eCPM, win rates, and fill, then translate findings into optimization recommendations. - Detect revenue discrepancies, missing data, and reporting anomalies, and coordinate with Product and Engineering on instrumentation and data quality fixes. - Build automated reports, alerts, and self-serve dashboards to scale analysis and reduce manual work. - Communicate clear findings to commercial colleagues and customers, including during time-sensitive incidents.

Requirements - At least five years of experience in ad technology, mobile monetization, revenue analytics, or a related analytics role. - Ability to scope and deliver analytics work independently, from the initial question through recommendations and reporting. - Strong SQL skills, including experience with ClickHouse or a comparable columnar database and impression-level event data. - Experience measuring pre/post changes and A/B tests in a monetization or growth setting. - Experience working with commercial teams or clients and explaining complex analysis to non-technical audiences. - Comfortable producing accurate impact assessments quickly in high-pressure situations.

Nice to have - Experience with mobile ad mediation, supply-side or demand-side platforms, programmatic auctions, OpenRTB, or ad reporting APIs. - Python or another analysis language; data analysis automation; BI tools such as Rill, Metabase, Hex, or Looker; or dbt and similar transformation tools.

Benefits and work setup Remote work flexibility is offered, along with salary, equity, commission, and benefits.