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Senior Data AnalystUnitedHealth Group • United States
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Senior Data Analyst

UnitedHealth Group
  • US
    United States
  • US
    United States
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About

Requisition number:
2359103
Job category:
Business & Data Analytics
At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start
Caring. Connecting. Growing together.
UMR, the largest Third-Party Administrator and part of UnitedHealthcare, is seeking a Senior Data Analyst to support an analytics portfolio transforming operations. This role will focus on developing business intelligence solutions, analyzing claims and operational data, identifying trends and performance drivers, and ensuring high data quality to support AI-enabled decision systems. The Senior Data Analyst will partner closely with business leaders, product teams, and technology teams to structure data, develop analytical models, and deliver insights that inform operational improvements across claims adjudication, payment integrity, and process automation initiatives. The role also requires experience working with modern cloud data platforms and supporting data science and machine learning initiatives.
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.
Primary Responsibilities:
Develop and maintain business intelligence tools, dashboards, and data visualizations that support AI-enabled claims operations initiatives
Conduct exploratory and descriptive analyses to identify operational patterns, performance trends, and improvement opportunities within claims processing workflows
Design and implement data normalization and transformation processes to ensure data from multiple operational systems can be integrated into a consistent structure
Create data specifications, semantic layers, and analytical models that support the integration and use of data across analytics and machine learning products
Develop and manage analytical datasets within modern cloud data platforms such as Snowflake and other enterprise data warehouses
Build scalable data pipelines and curated analytical datasets to support reporting, advanced analytics, and machine learning workflows
Perform quantitative analyses using claims, operational, and financial data to support business case development and value realization tracking
Translate analytical findings into clear insights, recommendations, and presentations for business and operational leaders
Partner with stakeholders across claims operations, payment integrity, product, and technology teams to understand data requirements and develop analytical tools
Build segmentation models, operational dashboards, decision-support tools, and analytical frameworks to support operational improvement initiatives
Support feature engineering, data preparation, and validation activities for machine learning models used in operational decision systems
Ensure data integrity, accuracy, governance, and quality across datasets used in analytical, reporting, and machine learning solutions
Produce and manage delivery of activity metrics and value analytics used to track performance of AI-enabled initiatives
Support data preparation and analytical insights used to guide operational improvements including cycle time reduction, auto-adjudication rate improvements, and payment accuracy
Use business intelligence, query, statistical, and visualization tools to build analytical solutions and interpret operational data
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
7+ years of experience in data analysis, business intelligence, or analytics roles
Experience working with healthcare payer data such as claims, eligibility, provider, or operational datasets
Experience with SQL and data querying tools for extracting and manipulating large datasets
Experience working with modern cloud data platforms such as Snowflake, Databricks, Azure Synapse, or similar enterprise data environments
Experience developing dashboards and data visualizations using tools such as Power BI, Tableau, or similar platforms
Experience performing descriptive analytics, regression-based analysis, and trend analysis to support business decision-making
Experience preparing datasets for machine learning models and working alongside data science teams
Experience collaborating with cross-functional teams including operations, product, data science, and technology
Demonstrated ability to translate complex analytical findings into actionable insights for business stakeholders
Legally authorized to work in the US without any restrictions. Proof will be required
Preferred Qualifications:
Experience working with healthcare claims operations, payment integrity analytics, or healthcare pricing data
Familiarity with enterprise data warehouses and healthcare data structures used in payer organizations
Experience supporting analytics for operational transformation, automation, or AI-enabled initiatives
Experience building analytical models for segmentation, operational performance measurement, or business case evaluation
Exposure to machine learning techniques such as classification, clustering, predictive modeling, or anomaly detection in operational datasets
Knowledge of healthcare claims lifecycle including adjudication, edits, adjustments, and payment workflows
Experience working in cloud-based data ecosystems integrating BI, data engineering, and machine learning workloads
Solid data modeling, data normalization, and dimensional modeling experience
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline:
This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
  • United States

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  • English
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