Interoperability Operations Analyst

Build metrics, dashboards, and tooling to track clinical data coverage across the Zus network. Investigate gaps, partner with support and product teams, and automate workflows using SQL and Python.

About the job

Coverage Intelligence

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

Operations Partnership

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

Tooling & Automation

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

Product Feedback Loop

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

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're comfortable in Python and curious about AI-assisted workflows — you'd rather build a system than repeat a task
Analytical curiosity: 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