Senior Data Analyst; SQL SME

Location:

Remote (United States)

Hours:

MST Time Zone

Duration: 6-Month Contract

We are seeking a proactive, forward-thinking Senior Data Analyst to join a core technical team within our payer client. In this role, you will act as a bridge between complex data environments and clinical leadership. You will be responsible for data design, navigating data warehouses, and translating high-level business concepts into technical deliverables that improve Care Management (CM) and Utilization Management (UM) outcomes.

• Advanced Microsoft SQL:
  Expert-level querying and data manipulation.
• Data Warehouse Navigation:
  Proven experience extracting and transforming data within large-scale warehouses.
• Databricks:
  Hands‑on experience within a Databricks environment is highly preferred.

• Relational Design:
  Deep understanding of how tables relate, specifically within a clinical context.
• Warehouse Structures:
  Ability to design and maintain efficient data structures.
• Tableau:
  Intermediate to Advanced proficiency. (
  
  Note:
  
  This role is more heavily weighted toward SQL/Engineering than visualization).
• Cognos:
  Experience with IBM Cognos is a strong "nice to have."

The ideal candidate must have a background working on the Payer side of healthcare, specifically dealing with:

• UM/CM Workflows:
  Understanding how Care Managers enter data and how those clinical workflows impact outcome metrics.
• Clinical/EMR Data:
  Familiarity with table structures and the nuances of clinical content.
• Claims Data:
  Experience with claims data is preferred to provide a holistic view of the member journey.

• Consultative Approach:
  You will meet directly with customers to translate their needs into task-specific deliverables.
• Proactive Communication:
  We need a "thinker," not just a "doer." You should be comfortable asking high‑level questions to ensure data integrity.
• Independence &
  
  Collaboration:
  
  While you will work closely with our core team of four, you must be able to drive projects independently.
• Documentation:
  Strong habits in documenting data lineage and logic for long-term sustainability.