Senior Data Analyst

Analytica is seeking a Senior Data Analyst with Medicare and/or Medicaid policy and claims data experience to support the development of advanced analytical solutions that identify aberrant provider billing and utilization patterns. The ideal candidate will bring strong SQL and Python skills, experience working with large healthcare claims datasets, and knowledge of statistical and machine learning techniques.
Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.   
 

Key Responsibilities

• Gather and define data requirements and resolve data-related challenges in collaboration with client and project teams.
• Develop and refine data models to identify vulnerabilities, anomalous activity, and potential risks within Medicare and Medicaid programs.
• Analyze provider billing and utilization patterns using large healthcare claims datasets.
• Consult and advise on data analysis, statistical modeling, and analytical techniques.
• Research and evaluate new modeling methods, tools, market trends, and proven approaches.
• Develop white papers and other documentation outlining analytical methods and findings.
• Monitor compliance with Medicare and Medicaid billing requirements.
• Perform testing and quality assurance for data models and analytical solutions.
• Research emerging data concepts, technologies, and analytical approaches.
• Communicate directly with customers and present findings, recommendations, and results to project teams and stakeholder groups.

Required Qualifications

• Bachelor’s or Master’s degree in Data Analytics, Statistics, Health Policy, Public Health, or a related field. Master’s degree preferred.
• Experience working with Medicare and/or Medicaid data.
• Strong SQL skills working with large claims datasets, including the ability to trace joins and filters and clearly explain changes in record counts.
• Proficiency in Python.
• Strong knowledge of statistical programming concepts and best practices.
• Experience developing machine learning models, including anomaly detection techniques such as Isolation Forest.
• Experience with Databricks, Snowflake, or another notebook-based development environment.
• Strong communication skills with the ability to present technical concepts and analytical findings to clients and project teams.

Preferred Qualifications

• Program integrity experience.
• Experience with MLflow and MLOps practices.
• Experience with Esri or other geospatial mapping and analytics tools.
• Experience with Tableau and data visualization techniques.
• Ability to read and interpret SAS code.

About Analytica: Analytica is a leading data and AI engineering firm serving public sector and highly regulated industries. The company has been recognized by Inc. Magazine as one of the 250 fastest-growing companies in the U.S. and as a Great Place to Work for 3 sequential years.  Analytica specializes in helping organizations design and implement improvements across their business functions to leverage data, analytics and AI to be more effective. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2015 certified provider.