Lead/Principal Data Analyst
New
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Nexio Management Sp. z o. o.Logistics
Warszawa, Puławska 182, Warszawa, Country code: plContractLead
Salary38,640 - 43,680 PLN per hour
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Job Details
- Languages
- En C1, pl B2
- Experience
- 10+ years
- Required Skills
- PythonSQLData AnalysisAzureDatabricksR
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.
- Fluent English, both written and spoken.
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.
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