Lead/Principal Data Analyst

For our client in the logistics sector, we are seeking a highly experienced data professional to join a strategic enterprise data platform transformation program. As a Principal / Lead Data Analyst, you will play a key role in driving data standardization, governance, and analytics across a global organization while collaborating with business and technology leaders.

Responsibilities

• Lead complex data analysis initiatives across multiple business domains, driving consistency, quality, and alignment of enterprise data across a global data platform.
• Collaborate with business stakeholders, Product Owners, Solution Architects, Information Architects, Data Engineers, and Business Analysts to translate business capabilities into scalable data models and analytical solutions.
• Analyze and validate business requirements, source data, transformation logic, and data mappings to ensure semantic consistency, high data quality, and alignment with enterprise architecture and Data Mesh principles.
• Perform data profiling, root cause analysis, and identify opportunities to improve data quality, governance, and standardization across the organization.
• Define and continuously improve analytical standards, data validation processes, documentation, and best practices supporting enterprise-wide data products.
• Prepare and present analytical documentation, data mappings, reports, and visualizations to support business and technical decision-making.
• Mentor other analysts, promote analytical excellence, and contribute to the continuous improvement of data analysis practices across delivery teams.

Requirements

• 10+ years of experience in Data Analysis, Business Intelligence, Data Management, Data Mapping, or a similar enterprise data role.
• Proven experience working within large-scale enterprise data platforms and complex Agile environments, collaborating with multiple cross-functional teams.
• Strong understanding of enterprise data architecture, data warehousing, lakehouse concepts, and modern data transformation approaches.
• Hands-on experience with Data Mesh, data governance, metadata management, master data management (MDM), and enterprise data quality frameworks.
• Strong analytical skills with practical experience in data profiling, source data analysis, and defining transformation logic.
• Experience working with Databricks or similar data analytics platforms.
• Advanced SQL skills and practical knowledge of Python or R for data analysis and automation.
• Experience with cloud-based data platforms such as Azure or AWS.
• Strong stakeholder management and communication skills, with the ability to engage both technical teams and senior business stakeholders.
• Ability to influence analytical standards, drive cross-functional collaboration, and mentor less experienced analysts.
• Software development experience will be considered an advantage.
• Fluent English, both written and spoken.

What we offer

• Long-term career stability through long-term projects for leading international companies, with opportunities to grow across IT areas.
• Flexible cooperation models: B2B contract, employment contract, or mandate contract.
• Benefits package: Medicover private healthcare, including extended dental care; FitProfit sports card; and English language lessons.
• Access to professional group workouts at the F45 gym located in the office, led by certified trainers.
• Employee referral program.
• IT certification funding to support professional development.
• Flexible work model: remote, hybrid, or office-based work depending on the project.
• Team-building events and company integrations.
• Support for charitable initiatives and projects that make a positive difference.