Data Analyst

Location: Poland

We Are:

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel.

Founded in 2012 and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

In 2026, RTB House launched rtb.com, a self-service platform specifically designed to allow small and medium-sized businesses and agencies to deploy auto-built creatives and maximize performance on any budget.

About the Role:

We’re looking for an early-career data professional who wants to build, not just maintain. We’re moving our FP&A reporting from Looker Studio and Google Sheets to a new agent-based platform on Google Cloud (Gemini, Vertex AI, BigQuery). You’ll be the main hands-on builder of this infrastructure from day one, with an experienced finance team behind you. 

You won’t be alone - our Head of FP&A has deep finance background and years of experience in automation and scripting. He sets direction, reviews architecture, and unblocks you toghether with our Senior FP&A Analyst - SQL/BigQuery and reporting expert with a Big4 audit background - your go-to person for data logic, controls, and what “correct” looks like in finance.

You Will:

• Build the foundation of our AI-powered FP&A reporting stack on GCP (BigQuery, Vertex AI, Gemini, Google Workspace);
• Migrate existing reports and dashboards from Looker Studio and Google Sheets to the new solution;
• Design and implement data pipelines (BigQuery, Sheets, files from country teams) with validation and error handling;
• Build AI agents and workflows that generate reports, commentary, and variance explanations;
• Automate recurring tasks with SQL, Python, and Google Apps Script;
• Document architecture, processes, and workflows so others can use and maintain them;
• Ensure data quality, consistency, and security (access control, handling confidential data in AI tools);
• Support ad hoc analyses for the finance team and business.

Desired Experience:

• Experience working with data (internship, side project, or university project is fine);