Data Operations Analyst, India Ops

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. 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 looking for a highly analytical and detail-oriented Data Operations Analyst to work directly with the India RCM Leadership. This role will focus on improving operational efficiency through data analysis, dashboard development, process automation, reporting, and data quality management. The ideal candidate is comfortable working with large datasets, identifying operational bottlenecks, building insightful dashboards, automating repetitive tasks, and partnering with business stakeholders to drive data-backed decision-making. What This Role Isn't - Not a data science or ML research position - Not a cloud infrastructure or DevOps role - Not about building pipelines or systems in isolation — every piece of work ties directly to an operational outcome that impacts real people doing real work The mindset we are hiring for Someone who sees a broken process and instinctively asks "why is it broken?" before asking "what tool should I use?" Someone who can sit with a non-technical team lead, understand their pain in 30 minutes, and have a working prototype by end of week. Someone who treats internal operations teams as their users and builds with the same rigor a product engineer would build for external customers. This full-time position requires working 5 days a week in our Gurgaon, India office. What You'll Do Data Analytics & Reporting - Analyze operational data to identify bottlenecks, inefficiencies, and opportunities for process improvement. - Write SQL queries to surface productivity metrics, error patterns, turnaround times, and operational insights. - Create and maintain reports and performance metrics to support operational decision-making. - Develop actionable insights and proactively highlight operational risks and gaps. Dashboard Development & Maintenance - Build and maintain internal tools using Retool connected to PostgreSQL databases. - Optimize existing tools and improve workflow usability and efficiency. - Troubleshoot and resolve production issues, broken workflows, and reporting inaccuracies. - Ensure data accuracy, consistency, and reliability across systems and tools. Process Automation - Identify manual and repetitive operational tasks suitable for automation. - Design and implement workflow automation solutions using Retool and available technologies. - Translate written SOPs and decision logic into scalable automation rules. - Reduce turnaround times and improve operational efficiency through automation. Data Operations & Quality - Analyze operational datasets from Excel, CSV, and database exports to identify root causes of performance issues. - Validate and audit data quality across multiple sources. - Investigate discrepancies and coordi