Lead/Principal Data Analyst
⚲ Warszawa
Do uzgodnienia
Wymagania
- Databricks
- SQL
- Python
- Azure
Opis stanowiska
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 – work on long-term projects for leading international companies with opportunities to grow across various areas of the IT industry.
• 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.
• F45 gym training – access to professional group workouts at the F45 gym located in our office, led by certified trainers.
• Employee referral program.
• IT certification funding to support your professional development.
• Flexible work model – depending on the project, you can work remotely, in a hybrid model, or from the office.
• Team-building events and company integrations – we believe great teams are built both at work and beyond.
• Giving back matters – we actively support charitable initiatives such as Szlachetna Paczka and, through our #PomagamyNexio program, engage in projects where we can make a real difference.
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 – work on long-term projects for leading international companies with opportunities to grow across various areas of the IT industry.
• 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.
• F45 gym training – access to professional group workouts at the F45 gym located in our office, led by certified trainers.
• Employee referral program.
• IT certification funding to support your professional development.
• Flexible work model – depending on the project, you can work remotely, in a hybrid model, or from the office.
• Team-building events and company integrations – we believe great teams are built both at work and beyond.
• Giving back matters – we actively support charitable initiatives such as Szlachetna Paczka and, through our #PomagamyNexio program, engage in projects where we can make a real difference.
🔍 Dekoder Ogłoszenia
🔴
highly experienced data professional
Oczekiwany jest kandydat z bogatym doświadczeniem, ale konkretna liczba lat lub wymagane technologie nie są sprecyzowane.
🔴
strategic enterprise data platform transformation program
Projekt może być w początkowej fazie, co oznacza potencjalne zmiany, niepewność i potrzebę budowania procesów od podstaw.
🔴
driving data standardization, governance, and analytics
Może to oznaczać, że obecne procesy są chaotyczne i wymagają gruntownej przebudowy, co może być trudne i czasochłonne.
🟡
collaborating with business and technology leaders
Wymaga umiejętności komunikacji i negocjacji z różnymi grupami interesariuszy, co może być wyzwaniem w dużej organizacji.
🔴
aligning with enterprise architecture and Data Mesh principles
Wymaga zrozumienia i stosowania zaawansowanych koncepcji architektonicznych, które mogą być nowe lub słabo zdefiniowane w organizacji.