Job Description & Details
This is a solid mid-level Business Analyst role tailored specifically for folks looking to cement their career in healthcare analytics. You'll be working directly with health plan operations, dealing with real-world health data, and bridging the gap between technical teams and stakeholders.
What You'll Actually Be Doing
You'll spend your days wrangling data requests, translating business needs into reporting specs, and building out dashboards in Tableau. Expect to deal with plenty of data validation, quality checks, and root-cause analysis across domains like Behavioral Health and Utilization Management. If you hate monotonous tasks and love digging into messy datasets to find out why numbers don't match, you'll fit right in.
The Core Tech Stack
You're going to need a solid grip on SQL or Oracle because pulling healthcare data from multiple legacy systems is bread and butter here. Paired with that, you must be comfortable building visualizations in Tableau or Power BI and have advanced Excel skills for quick ad-hoc analysis. The company relies on these tools to keep their health plan operations compliant and efficient, so being fast and accurate with your queries is non-negotiable.
Interview Expectations
Expect them to grill you on your SQL proficiency, likely asking you to write a tricky join or aggregation on the fly to solve a data discrepancy scenario. They'll also want to see how you translate complex healthcare metrics into plain English for non-technical stakeholders, so be prepared to explain a past analytics project without leaning too heavily on technical jargon. The hiring manager is secretly looking for someone who doesn't just push out reports, but actually understands the clinical and operational context behind the data.
Application Advice
Make sure your resume screams healthcare analytics by explicitly mentioning terms like health plan operations, data validation, and business requirements gathering. Don't just list Tableau and SQL—highlight specific metrics you've built or dashboards you've designed that actually drove operational improvements. Weave those keywords naturally into your experience section to easily clear the automated screening filters.