Interoperability Operations Analyst

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

• 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

Data coverage is one of the most tangible levers for customer value at Zus and right now, the infrastructure for understanding and improving it is still being built. You'll have real ownership over that build: the metrics, the tooling, and the feedback loops that help the network get better over time. The work compounds.