Senior Data Analyst - Payment Integrity Operations - Remote

UnitedHealth Group•Eden Prairie, MN

1d•$91,700 - $163,700•Remote

About The Position

The Senior Data Analyst supports Payment Integrity Operations through advanced data analyses that strengthen execution, standardization, and performance outcomes. The role delivers reliable reporting and decision support across programs and markets by translating stakeholder needs into operations requirements, ensuring data integrity, and producing actionable insights that drive operational excellence. The Senior Data Analyst is sought out as an expert and serves as a key resource for complex and critical operations issues. The role performs complex analyses, develops innovative approaches to recurring operational challenges, and proactively identifies solutions that anticipate stakeholder needs. The position reviews the work of others, provides recommendations for improvement, forecasts, and plans data resource needs, and may lead functional workstreams or projects. The role also authorizes documented deviations from standards when necessary to meet operational objectives while maintaining data integrity and governance. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

5+ years of experience analyzing healthcare claims, payment, operational, and performance data within a healthcare or managed care environment
5+ years of business and technical data analysis experience supporting operational and strategic decision-making
Experience supporting Payment Integrity, claims payment accuracy, provider reimbursement, payment policy, or related healthcare cost-management initiatives
Experience with data validation, reconciliation, reporting, dashboard development, KPI measurement, and large-scale healthcare data analysis
Advanced SQL skills with experience developing and optimizing complex queries, analyzing multi-source datasets, and supporting enterprise reporting in platforms such as Snowflake, Oracle, or SQL Server
Advanced Excel proficiency, including data analysis, modeling, validation, and reporting
Proven solid analytical, problem-solving, and critical-thinking skills with the ability to perform root-cause analysis and develop actionable, data-driven recommendations
Proven ability to translate business needs into analytical solutions and independently drive investigations from problem identification through implementation
Proven ability to collaborate, influence, and communicate effectively with business, operational, and technical stakeholders, including presenting complex findings to diverse audiences

Nice To Haves

Experience working with Optum / UHC healthcare data platforms (e.g., Facets, QNXT, ISYS or similar systems)
Experience supporting regulated or compliance driven reporting (e.g., CMS, state programs)
Experience analyzing fraud, waste, and abuse concepts, analytic methodologies, payment policies, and provider contracts
Experience supporting Payment Integrity, claims operations, or healthcare financial/operational performance programs
Experience partnering with technical teams on requirements, testing/UAT, release validation, and adoption for reporting/data products

Responsibilities

Perform complex analysis of large, structured healthcare data sets using SQL and analytical tools to identify trends, quantify opportunities, and support Payment Integrity initiatives
Design, develop, maintain, and validate production-level queries, data extracts, reports, dashboards, and KPI frameworks that support operational performance and business decision-making
Serve as an analytical resource for complex, high-visibility, or escalated issues by conducting root-cause analysis, data validation, and providing actionable recommendations
Partner with business, operational, and technical stakeholders to gather requirements, translate business needs into analytical solutions, and ensure alignment with organizational objectives
Support short- and long-term operational initiatives by leveraging exploratory data analysis to identify risks, performance improvement opportunities, and emerging business needs
Collaborate with internal and external partners to support data sourcing, integration, validation, implementation, and ongoing operational delivery of analytic solutions and programs
Develop a deep understanding of healthcare operations, payment integrity programs, regulatory requirements, business processes, and underlying data structures to ensure accurate analysis and reporting
Monitor data quality, algorithm performance, operational metrics, and market-level outcomes, providing insights and recommendations that support quality improvement and performance targets
Communicate analytical findings, operational impacts, and strategic recommendations through presentations, summaries, and executive-ready reporting tailored to diverse stakeholder audiences
Support implementation, adoption, and change management efforts by providing ongoing analytical expertise, performance monitoring, and stakeholder education
Work independently to prioritize multiple initiatives, manage competing deadlines, and deliver accurate, actionable insights across multiple lines of business
Collaborate closely with technical teams to understand data models, system dependencies, transformations, and solution design while ensuring analytical outputs are accurate, scalable, and sustainable