Informacje o stanowisku

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 thats 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. 

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