Senior Product Analyst — Ads

inDrive · Almaty, Kazakhstan · по договорённости

Компания
inDrive
Город
Almaty, Kazakhstan
Зарплата
по договорённости
Уровень
senior
Формат
full_time
Иностранная компания
нанимает русскоязычных

We’re looking for a Senior Product Analyst to join our Ads Platform team and play a key role in driving sustainable revenue growth. In this role, you’ll partner closely with Product, Marketing, and AdTech teams, using data and experimentation to optimize monetization, guide strategy, and ensure advertising delivers value for both the business and our users.

Own end-to-end ads performance and revenue strategy: monitor core metrics (eCPM, Fill Rate, CTR, ARPU), forecast budgets, validate targets, and drive financial planning for the ads business
Lead executive-level reporting and insights (e.g., MBRs), translating complex data into clear narratives and actionable recommendations for senior stakeholders
Drive revenue growth by identifying, sizing, and prioritizing high-impact monetization opportunities across ad placements, formats, targeting, and mediation strategies
Establish and monitor guardrails to ensure advertising contributes positively to core business metrics; lead incident response for revenue drops, anomalies, and traffic quality issues
Co-pilot product and monetization strategy in close partnership with Product, Marketing, and AdTech teams, including experimentation (A/B testing), asset prioritization, and roadmap validation
Own data foundations: define metrics hierarchy, build scalable dashboards and self-serve BI tools, and partner with engineering on data architecture, logging, and user segmentation (CDP) to enable advanced targeting and personalization

5+ years in data analytics or product analytics
Strong analytical mindset with a balance between business impact and resource efficiency
Proficiency in Python, SQL, and BI tools (e.g., Tableau, Redash)
Solid mathematical background, including statistics, optimization, and causal inference
Experience in analyzing large datasets and designing data marts for product needs
English: Professional Working Proficiency

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