(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.  Qualifications • 3+ 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.