Data Analyst

Quick Facts

• Start: ASAP (flexible)
• Rate: depending on experience (PLN/h)
• Contract: B2B 6 months + prolongations
• Hybrid: 2-3 days in Warsaw
• Project language: English
• Business trips: no needed

Description

We’re looking for a Data Analyst who brings precision, structure, and strong analytical thinking to how data is understood, aligned, and connected across an enterprise data platform. You take ownership of how business concepts, source data, and platform models are mapped end-to-end, ensuring consistency, reuse, and clarity across domains and products.

Key Responsibilities

• Support squads in complex data analysis and stakeholder situations, helping resolve ambiguities in source data, definitions, and ownership
• Strengthen collaboration and ways of working between business, data, and engineering teams by acting as a bridge between business meaning and technical implementation
• Validate and challenge data requirements and mappings to ensure alignment with the enterprise data platform vision, data mesh principles, and overall company strategy
• Collaborate with solution architects, information architects, subject matter experts, business analysts, and squad leads to establish feedback loops that ensure end-to-end coherence, data quality, and semantic consistency
• Perform in-depth data profiling and analysis to uncover patterns, anomalies, and inconsistencies in data
• Develop and execute data validation and verification processes to document and improve data integrity and quality
• Create detailed reports and visualizations to communicate data profiling results and insights

Requirements

• Min. 6 years of experience in roles such as Mapping Analyst, Data Analyst, Data Scientist or similar senior positions
• Solid experience working in agile delivery environments such as Scrum, Kanban, or Spotify-inspired models; comfortable supporting multiple squads in parallel
• Proven ability to engage business and data stakeholders to capture business definitions, source data semantics, and transformation logic; translate into precise and usable data insights
• Experience working closely with data engineers, solution architects, information architects, and product owners in data platform or analytics environments
• Communicate clearly and precisely in English, both verbally and in written documentation
• Comfortable managing competing priorities in a complex, global, and matrix organisation; strong stakeholder management skills across both business and technical communities
• Familiar with data platforms, data warehousing or lakehouse concepts, business intelligence, and data transformation patterns (logistics/supply chain/transport exposure is beneficial but not required)
• Experience with data profiling tools (e.g. Databricks, or similar)
• Familiarity with data quality frameworks and concepts such as data cleansing, data governance, and master data management
• Knowledge of programming languages like Python or R for data analysis (preferred)
• Excellent level of written and spoken English

Benefits

• Dynamic, global organization focused on data-driven solutions
• Fast-paced environment with evolving priorities