At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.

Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.”

Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.

The future of healthcare is being built right now. Come deliver this transformation.

About the Role

We are seeking a Data Operations Analyst who will work at the intersection of QBR technical support and Revenue Cycle Management (RCM) data analysis . This role requires a strong mix of technical expertise (SQL, Excel, data validation), critical thinking, and attention to detail. The Analyst will be responsible for creating and enhancing QBR decks, running custom analyses, and ensuring high-quality data accuracy within patient verification and benefits processes.

The ideal candidate will bring strong analytical skills, a problem-solving mindset, and the ability to deliver error-free, business-critical outputs for internal teams and clients.

What You’ll Do

Deck Creation & Automation:
- Run daily deck automations to generate reports (10–15%).
- Own direct connect decks end-to-end: ensure 100% QA, escalate concerning metrics, and transition high-revenue decks to AMs (10–15%).
- Work on custom and strategic QBR decks (30–40%), including adding tailored slides, insights, and SQL/Excel analysis that elevate reporting beyond standard decks.
Custom Analysis & Data QA
Client-Facing Custom Analysis : Support ad hoc requests from clients, including detailed SQL and Excel-based analysis, and develop custom Retool dashboards where applicable.
Data Verification: Validate that revenue transaction reports are accurately ingested from EHR systems and reconcile data discrepancies.
Quality Assurance Testing: Develop and execute test plans for data ingestion, identify discrepancies, and document QA results.
Mathematical/Financial Analysis: Apply quantitative reasoning to validate numerical accuracy in reports and ensure data integrity.
Process Improvement: Collaborate with engineering and operations teams to streamline QA processes, data workflows, and reporting accuracy.
Documentation & Reporting: Maintain records of QA activities, mappings, and findings, and present reports to stakeholders.
Compliance: Ensure all data handling complies with HIPAA and other regulatory requirements.

What You Have

Bachelor’s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.
Minimum 1 year of experience in data analysis, quality assurance, or technical reporting (healthcare/RCM preferred).
Strong technical ability: Proficiency in SQL and Excel (including pivot tables, VLOOKUP, macros, and data analysis).
Ability to perform quantitative reasoning to review metrics logically and identify inconsistencies.
High attention to detail – able to spot even the smallest errors before work is released.
Strong communication skills to relay insights, raise concerns, and collaborate across teams.
Familiarity with healthcare revenue cycle and financial reporting (preferred).
Experience with data visualisation tools (Tableau, Power BI) is a plus.
Growth mindset – ability to become semi-self-sufficient within 2–3 months.
Willingness to work in India Night Shifts (US Day shift – EST to PST) .

Please be aware that all official communication from us will come exclusively from email addresses ending in @ https://jobeax.com/link/j11prM5jibIdwMrD . Any emails from other domains are not affiliated with our organization.

Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

Data Operation Analyst (India)

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