Healthcare Data Analyst — Insight-Driven Analytics (Hybrid)

Milliman, Inc

Seattle (WA)

Hybrid

USD 80,000 - 109,000

Full time

3 days ago
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Benefits offered by this job

Medical, Dental and Vision
401(k) Plan
Discretionary Bonus Program
Paid Time Off
Holidays
Parental Leave

Job summary

MedInsight, a Milliman subsidiary, seeks a Healthcare Data Analyst to transform complex healthcare data into actionable insights that improve quality and reduce costs. You’ll profile, validate, and analyze large datasets while onboarding new clients and supporting MedInsight’s analytics platform.

The role requires SQL, Python, PySpark, and data-warehouse knowledge, plus strong communication with technical and business teams.

Qualifications

  • Bachelor's degree in a quantitative field.
  • 1+ year of SQL experience.
  • Experience analyzing structured datasets.
  • Experience with SQL Server / T-SQL, Python, PySpark, Azure Databricks.

Responsibilities

  • Analyze healthcare data using SQL, Databricks, Python.
  • Produce forecasts, dashboards, and client deliverables.
  • Document data definitions and data quality rules.
  • Ensure data quality and troubleshoot data issues.
  • Interpret results and present insights to stakeholders.
  • Collaborate with product, consulting, engineering, and client success.
  • Support onboarding of new clients.
  • Travel up to 5%.

Skills

SQL queries
Analytical thinking
Excel skills
Relational databases
Data quality
Communication skills
Multi-priority management
Time management
Curiosity/learning
Team collaboration

Education

Bachelor's degree in a quantitative field

Tools

SQL Server / T-SQL
Python
PySpark
Azure Databricks
Scripting tools

Job description

MedInsight, a Milliman subsidiary, seeks a Healthcare Data Analyst to transform complex healthcare data into actionable insights that improve quality and reduce costs. You’ll profile, validate, and analyze large datasets while onboarding new clients and supporting MedInsight’s analytics platform.

The role requires SQL, Python, PySpark, and data-warehouse knowledge, plus strong communication with technical and business teams.

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