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Data Analyst

Job in Lakeville, Dakota County, Minnesota, 55044, USA
Listing for: Insight Global
Full Time position
Listed on 2026-08-25
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 55 - 65 USD Hourly USD 55.00 65.00 HOUR
Job Description & How to Apply Below

Duration:6-month contract-to-hire

Must Haves:
  • 3+ years of experience as a Data Analyst on the health insurance/payer side
    , integrating and analyzing complex data sources
  • Payer domain expertise
    - Understands how the claims data is used on the backend to inform what data is needed
  • Expertise in SQL to figure out what data to pull & how
  • Data visualization experience (Power BI or Tableau)
  • Strong communication and stakeholder partnership skills
    - Ability to work directly with business partners and explain data clearly, to tell stories with data/communicate findings to both technical and non-technical audiences
Plusses:
  • Domain expertise in pharmacy claims data, supporting areas such as:
  • Formulary Analytics
  • Medication Adherence
  • MTM/Medication Therapy Management
  • Rebate & Drug Cost Analytics
  • Pharmacy Trend Reporting

OR payer domain experience with interoperability/FHIR

  • Familiarity with Python
  • Exposure to Azure Databricks/the cloud
  • Data visualization experience (Power BI or Tableau)
  • Agile/scrum experience (including tools like JIRA)
  • Experience in migration from on prem to the cloud

Insight Global is hiring Data Analysts to support multiple Product Teams at a large non-profit payer/provider. Responsibilities include analyzing claims data, developing reporting and dashboards, gathering requirements from business partners, performing data validation and quality checks, and delivering actionable insights. The top 5 day-to-day responsibilities are to:

  • Analyze claims data to identify trends, risks, opportunities, and operational insights.
  • Partner with business users and product teams to gather requirements, understand user stories, and translate business needs into data solutions.
  • Create reports, dashboards, and visualizations using tools such as Power BI to support decision-making.
  • Use SQL and Python to extract, integrate, validate, and interpret data from multiple systems and sources.
  • Support data quality, testing, validation, and documentation efforts while working closely with analysts, engineers, product owners, and business stakeholders.
Compensation:

$55 - $65per hour

Exact compensation may vary based on several factors, including skills, experience, and education.

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