Interoperability Operations Analyst
Boston, MA - USA
Job Summary
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 youll build the metrics intelligence and tooling that make that possible. Youll dig into where coverage is strong and where its thin surface the reasons why and partner with support and solutions teams to close the gaps. When the right fix is a query youll write it. When its an automated workflow youll 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. Youll 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 whats 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 youll articulate why its 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 dont accept manual work as permanent. Youre comfortable in Python and curious about AI-assisted workflows youd rather build a system than repeat a task
Analytical curiosity: You notice when numbers dont add up and you follow the thread. Youre 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
Required Experience:
IC