Data Analyst / Data Modeler – Pharma & Healthcare Data Platforms Location
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.