Data Analysis Consultant

Role Description

The Data Analysis Consultant leads the creation of cutting-edge analytic tools to drive better and faster decision making within the organization and provides critical support for key corporate programs, Medicare Advantage Stars and Risk Adjustment programs as it relates to provider data, provider to claims process.

• Supports enterprise Stars and Risk adjustment strategy through collaboration with analysts, healthcare policy makers, and strategy leaders throughout the company to identify trends and opportunities across the Medicare and Medicaid healthcare landscape.
• Consults with business leaders, IT partners, and product owners to facilitate product development and guide Stars and Risk Adjustment priorities through insightful analytics.
• Identifies and quantifies key drivers for the Risk Adjustment and Quality/Stars programs, investigates areas of opportunity, evaluates effectiveness, and makes recommendations.
• Applies business knowledge to Analytics projects and provides value-added insights to impact business outcomes, working cooperatively with various internal and external partners.
• Develops and maintains visualizations to support all business divisions across all levels.
• Develops and maintains scheduled and ad hoc reports for Risk Adjustment and Quality in response to business needs given tight deadlines, minimal direction, and shifting priorities.
• Provides ongoing tracking and monitoring of application performance and recommends improvements to methods and algorithms.
• Works closely with clients, data stewards, and other business and technology leaders to frame problem definition and potential solutions.
• Stays current with Government Programs requirements and directives including those specific to Medicare and Medicaid and updates all reporting and analytics accordingly.
• Works with external vendors and governmental agencies as required.
• Exhibits excellent organizational skills and ability to set priorities and handle multiple projects concurrently.

Qualifications

• 10 years' experience in data science methodologies, data analysis, modeling and reporting.
• Masters or PhD in disciplines identified above (preferred).
• Experience working with Azure Cloud native programs (preferred).
• Agile software development experience (preferred).
• Experience with large data sets and distributed computing (Hive/Hadoop) a plus.

Requirements

• Programming experience with R, SQL, SAS, Python or similar stack - Expert.
• Proficiency at transforming data, data classification and translations, as well as resolving data quality and data cleansing challenges - Proficient.
• Business knowledge of government programs (Medicare Advantage and Medicaid) healthcare data and systems - Advanced.
• Sophisticated analytical capabilities and the development and maintenance of visualizations to support all the business divisions across all levels - Advanced.
• Intermediate design work and/or use of relational databases including experience working with dimensional modeling, star schemas and time-series data - Advanced.
• Demonstrated proficiency with visualization tools such as Power BI Service and Tableau - Proficient.
• Experience working with unstructured data such as social determinants of health, electronic medical records, clinical data, or similar - Advanced.

Education Level

• Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, or a closely related field.
• In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.