Full job description
Growth Analyst role focused on managing and optimizing mobile programmatic campaigns across verticals such as gaming, fintech, and betting. Responsibilities include day-to-day campaign optimization to meet KPIs (CPA, ROAS, retention), executing supply-side and audience optimization tactics, running A/B tests, monitoring pacing and budget allocation, and understanding mobile attribution models. Use SQL for data analysis and leverage LLMs (GPT/Claude) for performance diagnostics. Collaborate with cross-functional teams including CSMs, Product Support, and Supply. Requirements include 1-3 years of programmatic ad buying or adtech experience, familiarity with MMPs (AppsFlyer, Adjust, Singular), basic SQL skills or willingness to learn, curiosity about AI and automation, and strong communication skills. Benefits include competitive compensation, career growth with mentorship, exposure to advanced workflows, flexible remote work with preference for CET time zone, and budgets for home office setup and learning development.
What you'll do
- Manage day-to-day campaign optimization across advertisers; monitor and hit KPI targets (CPA, ROAS, retention) with guidance
- Execute supply-side and audience optimization tactics including publisher management, bid adjustments, and dayparting across ad formats (banner, video, native, CTV)
- Run A/B tests on bids, budgets, creatives, and geos; document results and contribute to Trading Playbook
- Monitor pacing and budget allocation daily; flag risks and under-delivery proactively
- Build understanding of mobile attribution (postback flows, attribution windows, MMP integrations) and its impact on campaign performance measurement and optimization
- Use SQL to pull and analyze campaign data; build comfort with joins, CTEs, and window functions
- Leverage LLMs (GPT/Claude) for recurring analyses, data briefs, and performance diagnostics
- Support creation and maintenance of dashboards and reporting tools
- Develop analytical instincts to ask the right questions and use tools (SQL, AI, BI) to find answers
- Work with CSMs to understand client goals and communicate campaign status
- Support QBR preparation and client-facing deliverables with senior analysts
- Collaborate with Product Support to troubleshoot delivery issues and with Supply on inventory quality
Requirements
- 1–3 years of programmatic ad buying, ad operations, or adjacent adtech experience
- Familiarity with MMPs (AppsFlyer, Adjust, Singular) and attribution concepts; hands-on experience preferred
- Analytical mindset; basic SQL ability or a demonstrated willingness to learn quickly
- Curiosity about AI and automation; excited to use LLMs as part of daily workflow
- Nice-to-have: exposure to Python, CTV/OTT, or mobile in-app DSP platforms
- Solution-oriented with a bias toward action
- Clear communicator comfortable asking questions and collaborating across teams
Tech stack
SQLLLMsGPTClaudePythonAppsFlyerAdjustSingularClickHouseCTVOTTmobile in-app DSP platforms
Benefits
Competitive compensation with a performance-based componentExceptional career growth and learning possibilities with mentorship by experienced growth analystsExposure to advanced workflows (LLMs, ClickHouse, audience strategy)Opportunity to work with an experienced team of industry experts and entrepreneursHigh degree of responsibility and independenceDirect, day-to-day work with managementFun, driven, multinational team across multiple countriesFlexible work-from-home arrangement500-dollar home-office setup budget1000-dollar annual learning and development budget