# Interoperability Operations Analyst

**Company:** [Zus Health](https://hotfix.jobs/companies/zus-health)
**Location:** Boston, MA
**Role:** Data Analytics
**Salary:** $80k – $130k/yr
**Skills:** SQL, Python, Looker, Metabase, Tableau, BI Tools, FHIR, Hl7, C-Cda, AI Tools
**Posted:** 2026-06-23

> 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.

## Job Description

## 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

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