Data Analyst Consultant– Healthcare

Company: King & Spalding LLP

Location: Washington D.C., District of Columbia

Salary: $90k - $110k per year

Type: Full-time

Posted: 2026-08-19

About this role

King & Spalding is a leading global law firm with a commitment to excellence, innovation, and the seamless delivery of legal services. We harness innovative technology and exceptional talent to meet the complex needs of our clients in a fast-paced and dynamic legal landscape.

We are seeking a skilled Data Analyst to support our healthcare practice. The ideal candidate will demonstrate proficiency in manipulating and analyzing data from diverse sources and formats, with familiarity or willingness to utilize MS Excel, MS Access, SQL, Power Apps and AI applications for advanced data analytics. This role is categorized as a Consultant and reports directly to practice group partners.

KEY RESPONSIBILITIES:

  • Collaborate with partners to determine what data is relevant for various healthcare related projects and deliverables.
  • Compile, build and analyze existing databases with hospital and other source data for claim evaluation.
  • Review and assess data to determine King & Spalding bills based on client reimbursements.
  • Organize, extract and assess datasets to identify potential clients and business opportunities.
  • Use data to demonstrate the impact of business decisions on reimbursement outcomes.
  • Generate comprehensive reports in PowerPoint, Power BI and other formats for lawyer review, ensuring accuracy and clarity.
  • Deliver solutions for both billable and non-billable work streams as directed by practice group partners.

QUALIFICATIONS:

  • Bachelor’s degree.
  • Experience with data manipulation and analysis in multiple formats (e.g., spreadsheets, databases, cloud platforms).
  • Proficiency with MS Excel, V-Lookups, Pivot Tables, SQL, MS Access, MS Azure and basic ETL data processing.
  • Familiarity or willingness to learn and use AI applications for data analytics.
  • Strong analytical skills and attention to detail.
  • Ability to communicate findings clearly in written reports.
  • Collaborative approach to working with partners and cross-functional teams.

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