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Data Analyst
Job in
Lakeville, Dakota County, Minnesota, 55044, USA
Listed on 2026-08-25
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
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
- 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.
$55 - $65per hour
Exact compensation may vary based on several factors, including skills, experience, and education.
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