Lead/Principal Data Analyst

Quick Facts

• Role: Lead/Principal Data Analyst

• Focus: Enterprise data platform transformation; data standardization, governance, and analytics

Description

You will lead complex enterprise data analysis across multiple business domains, ensuring consistency, quality, and alignment of enterprise data on a global platform. You will translate business capabilities into scalable data models and analytical solutions while validating requirements, source data, transformation logic, and data mappings for semantic consistency and high data quality.

Responsibilities

• Lead complex data analysis initiatives across multiple business domains

• Collaborate with business and technology leaders (Product Owners, Solution Architects, Information Architects, Data Engineers, Business Analysts) to build scalable data models and analytical solutions

• Analyze and validate business requirements, source data, transformation logic, and mappings against enterprise architecture and Data Mesh principles

• Perform data profiling and root cause analysis to improve data quality, governance, and standardization

• Define and continuously improve analytical standards, data validation processes, documentation, and best practices for enterprise data products

• Prepare and present analytical documentation, mappings, reports, and visualizations for decision-making

• Mentor other analysts and improve data analysis practices across delivery teams

Requirements

• 10+ years of experience in Data Analysis, Business Intelligence, Data Management, Data Mapping, or similar enterprise data roles

• Proven experience with large-scale enterprise data platforms in complex Agile environments with cross-functional teams

• Strong understanding of enterprise data architecture, data warehousing, lakehouse, and modern data transformation approaches

• Hands-on experience with Data Mesh, data governance, metadata management, master data management (MDM), and enterprise data quality frameworks

• Practical experience in data profiling, source data analysis, and defining transformation logic

• Experience with Databricks or similar data analytics platforms

• Advanced SQL and practical Python or R for analysis and automation

• Experience with cloud-based data platforms such as Azure or AWS

• Strong stakeholder management and communication skills with both technical and senior business audiences

• Ability to influence analytical standards, drive collaboration, and mentor other analysts

• Fluent English (written and spoken)

Benefits

• Long-term career stability on long-term international projects

• Flexible cooperation models (B2B, employment contract, or mandate contract)

• Medicover private healthcare (including extended dental care), FitProfit sports card, and English language lessons

• F45 gym access for group workouts

• Employee referral program

• IT certification funding for professional development

• Flexible work model (remote/hybrid/office depending on the project)

• Team-building events and company integrations

• Charity support and participation in initiatives such as Szlachetna Paczka and #PomagamyNexio