Reporting Intelligence Principal Data Analyst, Internal Analytics - Remote
About The Position
Optum, part of UnitedHealth Group, is seeking a strategic data analyst to lead advanced analytics initiatives across healthcare operations. The role designs and delivers data-driven insights to inform business decisions, improve operational efficiency, and enhance client outcomes. It requires subject-matter expertise in healthcare claims data and experience in business intelligence, statistical analysis, and stakeholder engagement. The analyst collaborates with cross-functional teams to define data requirements, develop analytical models, and present actionable insights to senior leadership. The role also mentors junior analysts and contributes to best practices in data governance, visualization, and reporting. The position is remote within the United States, except hires 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.
Requirements
- At least 7 years of experience in the healthcare claims lifecycle, including submission, processing, adjudication, and payment.
- At least 5 years of experience auditing, billing, and/or coding claims.
- At least 5 years of healthcare industry experience (Medicare, Medicaid, or Commercial) with deep exposure to Payment Integrity.
- At least 3 years of experience in consultative roles with cross-functional collaboration.
- At least 3 years of experience interpreting data sets and presenting proposals to stakeholders.
- At least 3 years of project management experience.
- Deep understanding of the U.S. healthcare system, including claims data, CPT/ICD codes, and healthcare fraud/anomaly patterns.
- Knowledge of anomaly detection techniques, including statistical methods, clustering, outlier detection, and machine learning approaches.
- Experience creating meaningful features from raw healthcare data.
- Advanced SQL skills, including querying, data manipulation, and performance optimization.
- Python experience for data analysis and anomaly detection, including pandas, NumPy, scikit-learn, and visualization libraries such as Altair, Matplotlib, and Seaborn.
- Experience with AWS, Azure, or GCP for data storage, compute, and deployment.
- Proficiency in Tableau and Power BI for dashboards and visual analytics.
- Advanced Excel proficiency, including pivot tables, formulas, and charts.
- Working knowledge of CMS rules, billing codes, and related services.
- Solid analytical mindset, critical thinking, and communication skills.
- Proven ability to lead without authority in high-paced environments.
Nice To Haves
- Coding certification from AAPC or AHIMA.
- At least 3 years of experience in claims adjudication or revenue cycle management.
- At least 2 years of experience in matrixed, adaptive environments with tight deadlines.
- Proficiency in SQL, SAS, and other statistical programs.
- Solid project management and problem-solving skills.
- Exceptional presentation, communication, and negotiation abilities.
- Proficiency in Visio, Tableau, and PowerPoint.
- Familiarity with Spark, Databricks, or Snowflake.
- Git/GitHub experience for collaboration and code management.
- Experience with Airflow or similar workflow scheduling and orchestration tools.
Responsibilities
- Lead development of enterprise reporting, dashboards, scorecards, and performance intelligence.
- Translate business needs into data requirements, KPIs, metrics, and scalable reporting solutions.
- Establish consistent metric definitions, reporting methodologies, and data standards to ensure accuracy and alignment.
- Analyze and reconcile multiple data sources to identify trends, variances, risks, opportunities, and performance drivers.
- Deliver executive-level insights and recommendations that connect operational activity to measurable business outcomes.
- Lead end-to-end reporting and analytics initiatives using SQL, SAS, Excel, Tableau, Power BI, and other BI tools.
- Identify opportunities to automate, streamline, and scale reporting while reducing manual processes.
- Serve as a Reporting Intelligence subject-matter expert, partnering across Internal Analytics, Operations, Finance, and technology to influence decisions and advance strategic priorities.
- Collaborate with cross-functional teams to define data requirements and develop analytical models.
- Present actionable insights to senior leadership.
- Mentor junior analysts and contribute to best practices in data governance, visualization, and reporting.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase program.
- 401(k) contribution, subject to eligibility requirements.
- Career development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
