FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Interoperability Operations Analyst
Zus HealthInteroperability Operations Analyst at Zus, building metrics and tooling for healthcare data interoperability. Engage in data analysis, operations, and product development for enhancing customer services and insights.
Posted 6/25/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $80,000 - $130,000 per yearWebsite
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Build and maintain the metrics and dashboards that track clinical data coverage across the Zus network — by geography, network, data type, and customer
- Identify coverage gaps and anomalies, investigate root causes, and communicate findings clearly to customers and internal stakeholders
- Deliver the regular coverage intelligence that helps every customer understand the depth and breadth of their data — and what's driving any gaps
- Work closely with support and solutions teams to translate coverage findings into operational actions — escalations, network outreach, configuration changes
- Develop and maintain playbooks for recurring coverage issues, turning one-off investigations into repeatable processes
- Contribute to onboarding quality by flagging patterns in new participant data that suggest connectivity or configuration problems
- Build internal tools, scripts, and automated workflows that reduce manual analysis and surface insights faster
- Experiment with AI tools (including Claude) and BI platforms to accelerate how the team operates
- Partner with engineering and product to ensure the systems we rely on generate the signals we need
- Translate operational data into product requirements — if a coverage gap is systematic, you'll articulate why it's a product problem and what solving it would require
- Partner with UX and engineering to shape internal and customer-facing experiences that make coverage intelligence intuitive and actionable
Requirements
What you’ll need- SQL fluency: You write queries naturally and reach for them first when you have a question about data. Experience with BI tools (Looker, Metabase, Tableau, etc.) is a plus
- Automation instinct: You don't accept manual work as permanent. You're comfortable in Python and curious about AI-assisted workflows — you'd rather build a system than repeat a task
- Analytical curiosity: You notice when numbers don't add up and you follow the thread. You're comfortable sitting with ambiguous data and forming hypotheses
- Clear communicator: You can translate a coverage analysis into a crisp, jargon-free narrative for a customer or an executive
- Healthcare interest: Prior exposure to clinical data formats (FHIR, HL7, C-CDA) or the provider/EMR ecosystem is a plus, but a genuine interest in how healthcare data flows is what matters most
Benefits
Comp & perks- Competitive compensation that reflects the value you bring to the team a combination of cash and equity
- Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
- Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonAI-assisted workflowsBI toolsdata analysisautomated workflowsmetrics developmentdashboard creationroot cause analysisdata coverage tracking
Soft Skills
analytical curiosityclear communicationproblem-solvingcollaborationattention to detailprocess improvementcustomer focusadaptabilitycritical thinkingnarrative translation