Senior Product Data Analyst (M/F)

We are looking for a Senior Product Data Analyst to help drive roadmap prioritization decisions through in-depth analysis and reporting.

Your responsibilities will include:

• Supporting the Product team in selecting and prioritizing backlog projects based on the expected business impact for clients and partners;
• Quantifying the business opportunity behind product evolutions suggested by internal or external stakeholders;
• Communicating the impact on business metrics of recently deployed features;
• Defining success KPIs for new product features in collaboration with Product Managers, and setting up the necessary dashboards or reports to measure these KPIs;
• Monitoring the evolution of product KPIs, suggesting improvements and ideas to optimize them;
• Working proactively with the ML (Machine Learning) team and PMs (Product Managers) to suggest new project ideas to add to the roadmap;
• Providing support to Adikteev employees for questions related to internal analysis tools.

YOUR PROFILE

You will be the ideal candidate to join the Adikteev Product team if you possess:

• More than 4 years of experience in product analytics or a closely related role, ideally in an AdTech, video game (gaming), or technology environment.
• Experience collaborating with Product Managers to evaluate opportunities, prioritize initiatives, and facilitate roadmap-related decisions.
• A proven ability to assess the impact of product features, launches, and user journeys using business and product metrics.
• Experience in defining KPIs and success criteria for new features, monitoring their evolution, and translating results into concrete product recommendations.
• Experience with experimentation or A/B testing methodologies.
• Strong proficiency in SQL and Excel, with basic knowledge of Python or R.
• An excellent ability to query, structure, and process qualitative or quantitative data, as well as to draw relevant conclusions from it.
• Excellent written and oral communication skills, with the ability to explain complex analyses clearly and concisely to both technical and non-technical stakeholders.
• Experience working cross-functionally with Product, ML, Data, Engineering, and business teams.
• Proficiency in English, both written and spoken.