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September 19, 2026

Data Analyst

Senior • On-site

125 - 135 PLN/yr

Gdańsk, Pl-Gd, Poland

Quick Facts

  • Role: Data Analyst

Description

Analyse prioritized data sets and individual data points to document current data sourcing processes, ownership, and dependencies. Identify differences in data availability and processing, map current-state data flows, and evaluate future sourcing options such as APIs, data marts/data lakes, and RPA-based extraction. Coordinate inputs across business and technology teams and create clear documentation for recommended next steps.

Responsibilities

  • Analyse the structure of prioritised data sets and individual data points

  • Document current data sourcing processes (source systems, extraction methods, business rules)

  • Identify differences in data availability and processing across countries

  • Determine data owners and clarify data ownership responsibilities

  • Map existing data flows, dependencies, and current-state processes

  • Evaluate future data sourcing options (existing/new APIs, data marts/data lakes, robotic/RPA solutions)

  • Identify technical and organisational dependencies for each sourcing option

  • Provide input supporting high-level cost estimation

  • Coordinate analysis and inputs across multiple business and technology teams

  • Produce clear documentation covering data structure, current state, ownership, and recommended future sourcing options

Requirements

  • Minimum 5 years of experience in data analysis, technical analysis, or system analysis

  • Strong experience with data structures, data flows, source systems, and data dependencies

  • Good knowledge of SQL, relational databases, and data platforms (Data Warehouse, Data Mart, Data Lake)

  • Experience with REST APIs, system integrations, and API-based data sourcing

  • Understanding of data ownership, data governance, and data lineage

  • Ability to document current-state processes, business rules, and technical dependencies

  • Understanding of RPA/robotic automation solutions used for data extraction

  • Stakeholder management and communication skills

  • Professional working proficiency in English

Benefits

  • Private medical care

  • Co-financing for the sports card

  • Constant support of a dedicated consultant

  • Employee referral program

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