Product Analytics Lead

Responsibilities

• Own end-to-end delivery of data products from requirements gathering to production implementation and documentation
• Build and evolve the data layer and architecture for InPost Pay to support deep product analytics
• Drive data governance excellence including documentation, data quality metrics, and certification initiatives
• Conduct complex data analyses using statistical methods and large-scale data processing to solve business problems
• Collaborate with product teams and business stakeholders in an agile environment
• Mentor and develop a team of product analysts while fostering continuous learning

Requirements

• Strong hands-on experience with SQL and large-scale data processing (Spark, Databricks, or equivalent)
• Proficiency in Python for data engineering and analytical workflows
• Experience designing and building data pipelines and data models
• Familiarity with data governance frameworks and data catalogues
• Experience with cloud-based data platforms (GCP, Azure, or AWS)
• Strong communication skills with ability to translate technical and business concepts
• Agile mindset with experience in iterative delivery and stakeholder management

Preferred Qualifications

• Experience with BI and visualisation tools (Power BI, Looker, Tableau)
• Background in fintech, payments, or e-commerce
• Experience mentoring junior analysts or engineers

About the Company

InPost is a leading European OOH e-commerce enablement platform founded in 1999, operating almost 60,000 Automated Parcel Machines and 35,000 pick-up drop-off points across nine countries. InPost Pay is a fast-growing payment and checkout solution enabling seamless purchasing across the InPost ecosystem and partner merchants.