Onsite Healthcare Analytics Lead

Medica; St. Louis (MO); On-site; USD 91,000 - 155,000; Full time

Benefits offered by this job

Medical, dental, vision

Paid time off

Holidays

401K contributions

Volunteer time off

Job summary

Medica, a nonprofit health plan serving multiple states, seeks a Healthcare Analyst III to join the Trend Analytics team. This onsite role connects financial performance to analytics, guiding affordability initiatives and operational improvements. You will collaborate with cross-functional teams and present insights to executives.

The ideal candidate demonstrates deep analytics, strong communication, and the ability to mentor others in data interpretation and metric development.

Qualifications

• Bachelor's degree or equivalent in a related field.
• 5 years of work experience beyond degree.
• Strong analytical and problem-solving skills and storytelling ability.

Responsibilities

• Act as a subject matter expert on healthcare analytics and data interpretation.
• Translate financial performance into actionable insights for decisions.
• Lead analytic framework development to support strategies and affordability.
• Collaborate with stakeholders to map questions to analytic approaches.
• Explore data to identify trends, risks, and opportunities.
• Bridge analytics and business teams with actionable insights.
• Ensure data integrity across reports and outputs.
• Respond to ad hoc analyses with timely deliverables.
• Present findings to executives and tailor for priorities.

Skills

Healthcare analytics

SQL

Tableau

Power BI

SAS

Python

R

Data analysis

Communication

Cross-functional teamwork

Education

Bachelor's degree or equivalent experience

Tools

Tableau

Power BI

SAS

Python

R

Excel

Job description

Medica, a nonprofit health plan serving multiple states, seeks a Healthcare Analyst III to join the Trend Analytics team. This onsite role connects financial performance to analytics, guiding affordability initiatives and operational improvements. You will collaborate with cross-functional teams and present insights to executives.

The ideal candidate demonstrates deep analytics, strong communication, and the ability to mentor others in data interpretation and metric development.