About this role
Our partner, a Fortune 500 company , is building scalable, analytics-ready data architectures for a client in the healthcare sector.
We're looking for a Senior Data Modeller to design and maintain dimensional data models using Kimball methodology that power reporting and analytics at scale. You'll translate business requirements into well-structured logical and physical models, working closely with data engineers, BI teams, and business stakeholders — with particular emphasis on healthcare Encounters data.
This is a long-term, remote-first contract position with required US working hours overlap (2-6 PM CET).
Responsibilities
- Dimensional modeling: design and maintain data models using Kimball methodology (star and snowflake schemas, fact and dimension tables, SCDs).
- Healthcare Encounters data: model Encounters data, ensuring accuracy and alignment with business and regulatory requirements.
- Advanced SQL: develop and optimize complex queries for data extraction, transformation, and validation.
- Implementation: collaborate with data engineering teams to implement models within the data warehouse/lakehouse environment.
- Data quality: perform data profiling, quality checks, gap analysis, and troubleshooting across source and target systems.
- Documentation: maintain data models, data dictionaries, and mapping specifications.
- BI enablement: partner with BI and analytics teams to ensure models support downstream reporting needs.
Work Conditions
- Type: Full-time & Long-term contract work
- Start Date : ASAP
- Location : Remote
- US Time Zone Overlap : Required ( 2 PM - 6 PM CET , ideally until 7 PM CET)
- Contract with EU LLC
Requirements
- Healthcare industry experience — including hands-on knowledge of Encounters data (must-have) .
- Experience working with claims, member, or provider data in a healthcare payer (health insurer) or provider setting (must-have) .
- Strong Kimball dimensional modeling background — star/snowflake schemas, fact and dimension tables, slowly changing dimensions (SCDs).
- Advanced SQL skills — complex query writing, performance tuning, debugging, and data profiling across large datasets.
- Proven ability to design logical and physical data models for data warehouses/lakehouses optimized for reporting and analytics.
- Familiarity with healthcare data standards , claims processing workflows, and payer/provider data structures is a strong plus.
- Excellent problem-solving skills and keen attention to detail.
- Ability to collaborate with cross-functional teams and lead technical discussions with data engineers, BI teams, and business stakeholders.
- Have a consultancy mindset → always try to find a solution for the client