
Principal Statistical Programmer, Internal Analytics
- Eden Prairie, MN
- $110,200-188,800 per year
- Permanent
- Full-time
- Develop and manage a portfolio of cost savings initiatives with measurable client impact
- Create specifications for data structuring, product modeling, and dashboard development
- Use tools such as Excel, SQL, SAS, Tableau, and PowerPoint to build solutions and communicate insights
- Deliver activity and value analytics to clients and stakeholders using BI and statistical tools
- Lead end-to-end analytics projects and product development efforts
- Perform iterative analytical and investigative work to support concept development and solution validation
- Establish and maintain matrixed relationships with internal stakeholders to align and deliver payment integrity initiatives
- Influence senior leadership to adopt innovative ideas, approaches, and products
- Recommend changes to product development based on market research and emerging trends
- Serve as an industry thought leader and SME in professional and facility medical claims, pricing, and cost management
- Provide a broad business perspective and support senior leadership
- Develop pioneering approaches to emerging industry trends
- Lead cross-functional collaboration and influence without direct authority
- 7+ years of experience in healthcare claims lifecycle (submission, processing, adjudication, payment)
- 5+ years auditing, billing, and/or coding claims experience
- 5+ years of experience in the healthcare industry (Medicare, Medicaid, Commercial) with deep exposure to Payment Integrity
- 3+ years in consultative roles with cross-functional collaboration
- 3+ years interpreting data sets and presenting proposals to stakeholders
- 3+ years of project management experience
- Proven deep understanding of the US Healthcare System, including claims data, CPT/ICD codes, and healthcare fraud/anomaly patterns
- Experience with anomaly detection techniques: Statistical methods, clustering, outlier detection, and machine learning approaches
- Experience with feature engineering: creating meaningful features from raw healthcare data
- SQL experience: advanced querying, data manipulation, and performance optimization
- Python experience: data analysis, anomaly detection algorithms, pandas, NumPy, scikit-learn, and visualization libraries (Altair, Matplotlib, Seaborn)
- Experience with cloud platforms: experience with AWS, Azure, or GCP for data storage, compute, and deployment
- Data visualization experience: Proficiency in Tableau, Power BI for building dashboards and visual analytics
- Demonstrated advanced proficiency in Excel (pivot tables, formulas, charts)
- Proven working knowledge of CMS rules, billing codes, and related services
- Proven solid analytical mindset, critical thinking, and communication skills
- Proven ability to lead without authority in high-paced environments
- Coding certification (AAPC or AHIMA)
- 3+ years in claims adjudication or revenue cycle management
- 2+ years 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, PowerPoint
- Familiarity with Spark, Databricks, or Snowflake (preferred)
- Version Control: Git/GitHub for collaboration and code management
- Workflow Automation: Experience with Airflow or similar tools for scheduling and orchestration