Data Analyst / Data Modeler – Pharma & Healthcare Data Platforms Location
⚲ Warszawa, Gdańsk, Wrocław, Kraków, Poznań
Do uzgodnienia
Wymagania
- Data Warehousing / Data Lake / Lakehouse concepts
- Data governance and metadata management
- Data Analysis Data Modeling
- Relational and dimensional data modeling expertise
- ERwin / ER-Studio / PowerDesigner or similar
- Git/version control familiarity
- Data Warehousing Data Governance
Opis stanowiska
Dear Consultant
We are looking for an experienced Data Analyst / Data Modeler with strong expertise in enterprise data modeling, data analysis, and data governance within large-scale environments. Send CV to (marcillina.tietjen@dcvtechnologies.co.uk)
Remote – Poland
DCV-PL-VITU-AZ-10.06.2026
This role is ideal for professionals whose core background is in:
• Data Analysis
• Data Modeling
• Data Warehousing
• Data Governance
rather than Data Engineers transitioning into analysis.
You will work closely with business stakeholders, architects, analytics teams, and engineering teams to design scalable and compliant enterprise data structures supporting healthcare and life sciences initiatives.
Key Responsibilities
• Perform data profiling, validation, and quality analysis
• Design conceptual, logical, and physical data models
• Build scalable Star/Snowflake schemas
• Translate business requirements into source-to-target mappings
• Collaborate with ETL/ELT and Data Engineering teams
• Maintain metadata, lineage, and data governance documentation
• Support MDM and compliance initiatives
• Optimize analytical database performance
• Ensure compliance with GDPR, HIPAA, and GxP standards
• Participate in Agile/Scrum delivery processes
Required Skills
• Strong experience as Data Analyst and/or Data Modeler
• Relational and dimensional data modeling expertise
• ERwin / ER-Studio / PowerDesigner or similar
• Advanced SQL and query optimization
• Data Warehousing / Data Lake / Lakehouse concepts
• SQL Server / PostgreSQL / Snowflake / Oracle / Redshift
• Data governance and metadata management
• Agile/Scrum experience
• Git/version control familiarity
Nice to Have
• DBT / Informatica / Talend / Azure Data Factory / AWS Glue
• AWS / Azure / GCP exposure
• Python / PySpark
• Databricks / Spark / Kafka
• Power BI / Tableau / QuickSight
• Data Vault 2.0
• Pharma / Healthcare / Life Sciences experience
Ideal Candidate
A true Data Analyst / Data Modeler with strong business-facing capabilities and experience translating complex business requirements into scalable enterprise data structures.
We are looking for an experienced Data Analyst / Data Modeler with strong expertise in enterprise data modeling, data analysis, and data governance within large-scale environments. Send CV to (marcillina.tietjen@dcvtechnologies.co.uk)
Remote – Poland
DCV-PL-VITU-AZ-10.06.2026
This role is ideal for professionals whose core background is in:
• Data Analysis
• Data Modeling
• Data Warehousing
• Data Governance
rather than Data Engineers transitioning into analysis.
You will work closely with business stakeholders, architects, analytics teams, and engineering teams to design scalable and compliant enterprise data structures supporting healthcare and life sciences initiatives.
Key Responsibilities
• Perform data profiling, validation, and quality analysis
• Design conceptual, logical, and physical data models
• Build scalable Star/Snowflake schemas
• Translate business requirements into source-to-target mappings
• Collaborate with ETL/ELT and Data Engineering teams
• Maintain metadata, lineage, and data governance documentation
• Support MDM and compliance initiatives
• Optimize analytical database performance
• Ensure compliance with GDPR, HIPAA, and GxP standards
• Participate in Agile/Scrum delivery processes
Required Skills
• Strong experience as Data Analyst and/or Data Modeler
• Relational and dimensional data modeling expertise
• ERwin / ER-Studio / PowerDesigner or similar
• Advanced SQL and query optimization
• Data Warehousing / Data Lake / Lakehouse concepts
• SQL Server / PostgreSQL / Snowflake / Oracle / Redshift
• Data governance and metadata management
• Agile/Scrum experience
• Git/version control familiarity
Nice to Have
• DBT / Informatica / Talend / Azure Data Factory / AWS Glue
• AWS / Azure / GCP exposure
• Python / PySpark
• Databricks / Spark / Kafka
• Power BI / Tableau / QuickSight
• Data Vault 2.0
• Pharma / Healthcare / Life Sciences experience
Ideal Candidate
A true Data Analyst / Data Modeler with strong business-facing capabilities and experience translating complex business requirements into scalable enterprise data structures.
🔍 Dekoder Ogłoszenia
🔴
This role is ideal for professionals whose core background is in: • Data Analysis • Data Modeling • Data Warehousing • Data Governance rather than Data Engineers transitioning into analysis.
Chcą kogoś, kto od początku zajmował się analizą i modelowaniem danych, a nie kogoś, kto chce zmienić ścieżkę kariery z inżynierii danych.
🟡
You will work closely with business stakeholders, architects, analytics teams, and engineering teams
Będziesz musiał dużo komunikować się z różnymi zespołami, co może oznaczać konieczność tłumaczenia złożonych zagadnień technicznych na język biznesowy.
🟡
Translate business requirements into source-to-target mappings
Oczekuje się, że będziesz tworzyć szczegółowe mapowania danych, co może być czasochłonne i wymagać precyzji.
🟡
Collaborate with ETL/ELT and Data Engineering teams
Będziesz musiał ściśle współpracować z zespołami odpowiedzialnymi za przepływ danych, co może oznaczać konieczność dostosowania się do ich procesów i narzędzi.
🔴
Participate in Agile/Scrum delivery processes
Praca będzie odbywać się w metodyce zwinnej, co oznacza częste zmiany priorytetów i konieczność szybkiego reagowania na nowe wymagania.