Product Analytics Lead (m/f/d)

InPost is a leading e-commerce enablement platform in Europe, operating a network of nearly 60,000 Automated Parcel Machines and 35,000 pick-up drop-off points across nine countries. Founded in 1999, InPost provides delivery and fulfilment services to e-commerce merchants, offering flexible and contactless delivery options.

• 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 (Medallion / Lakehouse architecture preferred).
• Familiarity with data governance frameworks, data catalogues (e.g., Atlan, Apache Atlas), and data quality tooling.
• Experience working with cloud-based data platforms (GCP, Azure, or AWS).
• Strong communication skills to translate between technical and business language.
• Agile mindset comfortable with iterative delivery, sprint planning, and stakeholder management.
• Experience with BI/visualisation tools (e.g., Power BI, Looker, Tableau) is a plus.
• Background in fintech, payments, or e-commerce is a plus.
• Experience mentoring junior analysts or engineers is a plus.

Data Product Development:

• Own end-to-end delivery of data products including requirements gathering, data analysis, solution architecture, implementation, visualization coordination, quality monitoring, and documentation.

Data Layer & Architecture Development:

• Build and evolve the data layer to support deep product analytics and maintain high-quality documentation and business definitions.

Data Governance:

• Drive data governance by documenting reports and business definitions, identifying data owners, supporting data certification, implementing quality metrics, and improving data accuracy.

Complex Data Analysis:

• Conduct comprehensive analyses using statistical methods and large-scale data processing to deliver actionable insights.

Agile Ways of Working:

• Take ownership of tasks, provide delivery estimates, and communicate progress and blockers to ensure timely delivery.

Innovation & Continuous Learning:

• Stay updated on data processing and governance developments, evaluate new tools, and share knowledge internally.

Mentoring & Team Development:

• Provide advisory support, conduct mentoring sessions, and develop analytical competencies within the team.