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

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