(Senior) Product Analyst (m/f/n)

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option.Your responsibilities: Act as a bridge between Product teams and the Data organization, translating business needs into data requirements. Partner with Product Managers to define, analyze, and interpret business and product metrics to enable clear, reliable decision-making. Own and oversee event tracking – define requirements, validate implementation, and ensure consistency over time. Collaborate with Data Engineers and Data Consultants to build and improve production-ready data models for Product Analytics. Use Databricks (SQL / Spark) to analyze business performance and user behavior, as well as present insights in Power BI. Support A/B tests by defining success metrics and interpreting results. Qualifications3+ years of experience in Product Analytics, Business Analytics, or similar analytical role. Strong SQL skills and experience working with large datasets in cloud data platforms (Databricks is a plus) Proven experience in KPI defining and Event Tracking. Familiarity with Reporting Tools (Power BI - is a plus). Strong analytical thinking with the ability to translate data into clear business recommendations. Ability to work independently, take ownership, and consult stakeholders. Fluency in both Polish and English (B2+). Nice to have:Exposure to e-commerce platforms or products.Why join Us?Impact: Your work will directly influence strategic decisions and operational efficiencies across multiple international markets.Innovation: Be part of the team that's pushing boundaries of data analytics, working with the latest technologies and methodologies. Growth: This role offers unparalleled opportunities for professional development in a data-driven, technology-forward environment.Collaboration: Engage with cross-functional teams, share knowledge and best practices, fostering a culture of continuous learning and improvement.