Product Analytics Lead (m/f/d)

InPost; Warszawa; On-site; PLN 320,000 - 460,000; Full time

Job summary

InPost Pay is seeking a Product Analytics Lead to own the data foundation powering product and business decisions. You will shape data architecture, govern data quality, and partner with product and BI teams to deliver scalable analytics across markets.

We value strong SQL/Python skills, data modeling expertise, and mentoring abilities in an agile environment to drive impactful insights for e‑commerce and payments solutions.

Qualifications

• Experience with SQL and large-scale data processing to support product analytics.
• Strong Python skills for data engineering and workflow automation.
• Experience designing data models and pipelines for analytics products.
• Familiarity with data governance and data catalogues.
• Excellent communication translating technical to business terms.

Responsibilities

• Own end-to-end data product delivery from requirements to production.
• Collaborate with product, BI, and data engineering teams.
• Develop and maintain data architecture and governance standards.
• Deliver actionable insights and dashboard designs for stakeholders.
• Mentor junior analysts and lead analytics initiatives.
• Ensure quality through testing and documentation.

Skills

SQL

Python

Data storytelling

Communication

Agile mindset

Mentoring

Tools

Spark

Databricks

Looker

Power BI

Tableau

Cloud platforms

Job description

Company Description

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 60,000 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, more flexible, convenient, environmentally friendly and contactless delivery option.

Job Description

InPost Pay – a fast‑growing payment and checkout solution that enables seamless, one‑click purchasing across the InPost ecosystem and partner merchants. Data is at the heart of how InPost Pay grows: shaping product decisions, powering analytics, and ensuring we move fast with confidence. We are looking for a Product Analytics Lead to join InPost Pay and play a central role in building the data foundation that drives product and business decisions. You will own the full lifecycle of data products – from understanding business requirements and designing data architecture, through implementation in our production environment, to documentation and quality monitoring.

Main Activities

• Data Product Development: Own the end‑to‑end delivery of data products: gather requirements, perform comprehensive data analysis to address business problems, propose solution architecture, implement objects in the production environment, coordinate visualisation with the BI team, monitor quality, and maintain best‑in‑class documentation.
• Data Layer & Architecture Development: Build and evolve the data layer for the InPost Pay business unit to support deep product analytics. Ensure the highest quality of object documentation and business definitions across all data assets.
• Data Governance: Drive data governance excellence: document reports, objects, and business definitions; identify data owners and subject‑matter experts (including across international markets); support data certification initiatives; implement data quality metrics; and continuously improve coverage and accuracy.
• Complex Data Analysis: Conduct comprehensive analyses to solve business problems and deliver actionable insights. Apply statistical methods and large‑scale data processing techniques. Ensure quality through testing and iterative collaboration with the product team and business stakeholders.
• Agile Ways of Working: Take ownership of assigned tasks, provide reliable delivery estimates, and maintain proactive communication with business partners – surfacing progress and blockers clearly to ensure on‑time delivery of high‑quality solutions.
• Innovation & Continuous Learning: Stay current with developments in data processing and data governance; evaluate market tools (including those not yet used at InPost); share knowledge through internal training and experimentation.
• Mentoring & Team Development: Provide advisory support in building and managing a team of product analysts; conduct mentoring sessions and actively develop analytical competencies within the team.

Qualifications

• 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 – able 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.