Interoperability Operations Analyst

Who we are

Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.

What we're looking for: Every customer on the Zus network should have access to the most comprehensive clinical data possible and should understand exactly what they have. As Interoperability Operations Analyst, you'll build the metrics, intelligence, and tooling that make that possible. You'll dig into where coverage is strong and where it's thin, surface the reasons why, and partner with support and solutions teams to close the gaps. When the right fix is a query, you'll write it. When it's an automated workflow, you'll build it. This is a role for someone who is equally comfortable in a SQL editor and a Python script, gets genuinely curious about unexplained patterns in data, and is excited about using AI tools to work faster and smarter. You'll sit at the intersection of data, operations, and product. Your insights will shape how the network grows and how we serve our customers.

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.

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