Health Payer Data Analyst: SQL & Dashboards

Insight Global; Minnesota; On-site; USD 76,000 - 90,000; Full time

Job summary

Insight Global is seeking a Data Analyst to support multiple Product Teams at a large non-profit payer/provider. You will analyze claims data, develop reporting and dashboards, gather requirements from business partners, perform data validation, and deliver actionable insights.

You will use SQL and Python to extract and interpret data across systems, collaborating with analysts, engineers, product owners, and stakeholders to ensure data quality and impactful storytelling.

Qualifications

• 3+ years of experience as a Data Analyst in health insurance/payer domain.
• Payer domain expertise and understanding of how claims data informs data needs.
• SQL to determine data to pull and how.
• Data visualization experience with Power BI or Tableau.
• Strong communication and ability to translate data findings to technical and non-technical audiences.

Responsibilities

• Analyze claims data to identify trends, risks, opportunities, and operational insights.
• Partner with business users and product teams to gather requirements and translate into data solutions.
• Create reports, dashboards, and visualizations using Power BI (and/or Tableau).
• Use SQL and Python to extract, integrate, validate, and interpret data from multiple sources.
• Support data quality, testing, validation, and documentation with cross-functional teams.

Skills

Data analysis

SQL

Power BI

Tableau

Communication

Stakeholder management

Python

Agile/Scrum

Data validation

Tools

Power BI

Tableau

Azure Databricks

JIRA

Job description

Insight Global is seeking a Data Analyst to support multiple Product Teams at a large non-profit payer/provider. You will analyze claims data, develop reporting and dashboards, gather requirements from business partners, perform data validation, and deliver actionable insights.

You will use SQL and Python to extract and interpret data across systems, collaborating with analysts, engineers, product owners, and stakeholders to ensure data quality and impactful storytelling.