Senior Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Collect and specify data requirements while addressing data-related issues with clients and project teams.

• Create and enhance data models to detect vulnerabilities, unusual activities, and potential risks within Medicare and Medicaid programs.

• Examine provider billing and utilization trends utilizing extensive healthcare claims datasets.

• Provide consultation and guidance on data analysis, statistical modeling, and analytical methodologies.

• Investigate and assess new modeling techniques, tools, market developments, and established practices.

• Produce white papers and documentation that detail analytical methods and results.

• Ensure adherence to Medicare and Medicaid billing regulations.

• Conduct testing and quality assurance for data models and analytical solutions.

• Explore emerging data concepts, technologies, and analytical strategies.

• Engage directly with customers, presenting findings, recommendations, and results to project teams and stakeholders.

⛳️ Requirements

• A Bachelor’s or Master’s degree in Data Analytics, Statistics, Health Policy, Public Health, or a related discipline; a Master’s degree is preferred.

• Experience with Medicare and/or Medicaid data.

• Proficient in SQL, especially with large claims datasets, including tracing joins and filters and interpreting changes in record counts.

• Strong proficiency in Python.

• Comprehensive understanding of statistical programming principles and best practices.

• Experience in developing machine learning models, particularly anomaly detection methods such as Isolation Forest.

• Familiarity with Databricks, Snowflake, or similar notebook-based development environments.

• Excellent communication skills, capable of conveying technical concepts and analytical insights to clients and project teams.

• Experience in program integrity is preferred.

• Familiarity with MLflow and MLOps practices is preferred.

• Experience with Esri or other geospatial mapping and analytics tools is preferred.

• Knowledge of Tableau and data visualization techniques is preferred.

• Ability to read and interpret SAS code is preferred.

• U.S. work authorization is mandatory; sponsorship might be considered.

🏝️ Benefits

• Competitive salary.

• Opportunities for performance bonuses.

• Employer-sponsored healthcare.

• Funding for training and development.

• 401k matching.