Healthcare Economics Consultant - Remote

UnitedHealth Group•Eden Prairie, MN

20h•$72,800 - $130,000•Remote

About The Position

The Healthcare Economics Consultant serves as a bridge between technology and business teams and supports the end-to-end shared savings process. The role includes financial performance evaluation, reconciliation, variance analysis, and reporting across multiple risk arrangements. The consultant partners with actuarial, finance, local market leadership, and care delivery teams to track, validate, and communicate shared savings outcomes accurately. The position requires strong people, project, change, data analysis, and data management skills, along with the ability to work in a matrix environment and improve results. The consultant gathers and defines business requirements; analyzes data and business processes; helps deliver and validate financial reports, dashboards, and reconciliation summaries; and researches data sources, elements, and transformations. The role also involves profiling data, resolving data quality and reporting issues, documenting solutions, writing SQL, and assessing the credibility and usability of data before analytic results are delivered. The position can be performed remotely from anywhere in the United States. Employees hired in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The role’s listed salary range is $72,800–$130,000 annually based on full-time employment. The employer offers a comprehensive benefits package, incentive and recognition programs, an equity stock purchase plan, and a 401(k) contribution, subject to eligibility requirements.

Requirements

At least 3 years of Business Analyst experience.
At least 3 years of data-related problem-solving and troubleshooting experience.
Intermediate or advanced proficiency in Microsoft Excel, including formulas, lookups, graphs, and pivots.
Strong attention to detail and demonstrated ability to identify inconsistencies, ensure data accuracy, and deliver high-quality work.
Excellent verbal and written communication skills.
Ability to write and understand complex SQL queries involving advanced unions, joins, aggregations, and grouping.

Nice To Haves

At least 2 years of data visualization experience, including Tableau or Power BI; preferred but not required.
Progress toward actuarial certification, such as SOA or CAS exams, or equivalent experience in actuarial or healthcare financial modeling.
Ability to work from the Cypress, California office.

Responsibilities

Gather and define business requirements, standardize their collection and documentation, and ensure requirements are clear, structured, traceable, non-contradictory, non-redundant, and testable.
Analyze large amounts of data and business processes to identify root causes and propose effective solutions.
Ensure business rules are clearly defined, consistently applied, and aligned with organizational goals.
Evaluate and refine output formats for usability and clarity.
Support development and validation of shared savings outputs, including financial reports, dashboards, and reconciliation summaries.
Ensure shared savings outputs align with contractual requirements and stakeholder expectations.
Research data elements and sources and understand their business relevance.
Define data sources, including ingestion types, relationships, tables, variables, and required transformations.
Become a subject matter expert on how data is used and functions within the business.
Conduct data profiling on source data for analysis and testing.
Identify, analyze, and resolve data inconsistencies, errors, and discrepancies in databases and reporting systems.
Collaborate with cross-functional teams to investigate and resolve data issues.
Develop and implement data quality control procedures and conduct regular audits to maintain data accuracy and integrity.
Document data troubleshooting processes, solutions, and resolutions for future reference and knowledge sharing.
Write efficient SQL code to solve complex data challenges.
Determine the credibility and usability of data before delivering analytic results.
Investigate variances in shared savings results, including performance differences across markets, populations, and contracts.
Support financial performance evaluation, reconciliation, variance analysis, and reporting across multiple risk arrangements.
Partner with actuarial, finance, local market leadership, and care delivery teams to track, validate, and communicate shared savings outcomes.