[Hiring] Senior Data Operations Analyst III @R1 RCM Holdco Inc.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves onboarding and supporting new clients in the R1 platform(s). You will work directly with client IT teams to acquire data files, validate data, and import them into our applications. • Own complex client implementations: Acquire, import, and validate data and prepare proprietary systems and platforms ready for go-live from a data perspective. • Healthcare data expertise: Work with industry-standard formats including FHIR, HL7 (v2/v3), X12 EDI transactions, and batch data processing to ensure accurate data exchange and interoperability. • Maintain data pipelines at scale: Ensure reliability, performance, and data quality of production systems and batch processes. • Client relationship management: Partner with client IT teams to collaboratively work towards data that meets specifications. • Data analysis and reporting: Write queries, analyze trends, and create reports around system performance and client data needs. • Cross-team collaboration: Present findings to non-technical stakeholders and work with teams across the organization to deliver results. Qualifications • 3+ years of proven experience with healthcare data formats and standards (experience with some or a combination of: batch data processing, FHIR, HL7 v2/v3, X12 EDI transactions) • Hands-on experience with one or more of the following: building HL7 interfaces, implementing FHIR API integrations, or processing batch data feeds (flat files, CSV, fixed-width) from client systems - the more the better • SQL (or similar) • Experience with cloud-based data platforms and ETL processes • Strong analytical and problem-solving skills with intellectual curiosity • Ability to partner and collaborate closely with both internal and external project/operational stakeholders Requirements • Experience in healthcare or Revenue Cycle Management (RCM), or interest in making the US healthcare system more efficient • Experience with large-scale data platforms like Snowflake, Databricks, Palantir, EMR (e.g., Epic, Cerner, Athena, etc.) Benefits • Base pay range is $70,921.24 - $114,234.05 per year • Eligible to participate in our annual bonus plan at a target of 10.00% Apply tot his job