We are seeking an experienced Data Modeller with a strong background in Kimball dimensional modeling methodology to support the design and development of scalable, analytics-ready data architectures.
The ideal candidate will have a solid understanding of star schema and snowflake schema design principles, fact and dimension table modeling, slowly changing dimensions (SCDs), and best practices for building data warehouses optimized for reporting and analytics.
This role requires advanced SQL proficiency, including the ability to write and optimize complex queries, perform data profiling, and troubleshoot data quality issues across large datasets.
Candidates should be comfortable collaborating with data engineers, BI teams, and business stakeholders to translate business requirements into well-structured logical and physical data models.
A strong background in healthcare data is required, with specific hands-on experience working with Encounters data (e.g., medical claims, member encounters, provider interactions, or related healthcare transactional data). Familiarity with healthcare data standards, claims processing workflows, and payer/provider data structures is highly valued.
Key Responsibilities:
Required Qualifications:
For more information – please apply for this job or send your CV directly
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.

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