About the Job

General Summary of Position
Under the general direction of the Director of Data & Analytics manages the reporting and analytics team for the Health Plan. Manages mentors and trains a group of health analysts for both the Maryland and DC office. Oversees the development and production of high-quality analytic reports for use internally and externally. This includes overseeing the quality of health analytics performed by the team managing an internal report request process to ensure that data reports are developed and delivered on time and are of the highest quality. Identifies process improvement opportunities across all areas within the position's purview and makes recommendations or implementing changes to maximize efficiency and quality of analytic work. Responds to inquiries and questions from internal and external sources interpreting and explaining reports data and other statistical information financial policies and procedures as needed. Works collaboratively with all departments including IS Finance Case Management Population Health Member Growth Quality Compliance and Provider Relations.

Health plan and/or healthcare experience required.  While this is primarily a remote position, ideal candidates will reside within reasonable proximity to the MD/DC area for quarterly in-person visits.  

Primary Duties and Responsibilities

• Develops department goals objectives policies and procedures in collaboration with the Director of Data and Analytics.
• Develops and recommends department operating budget and manages resources according to the approved budget in collaboration with the Director of Data and Analytics.
• Selects trains orients mentors and manages department staff. Develops standards of performance evaluates performance and conducts performance management planning. Maintains ongoing communication with staff to review programs provide feedback discuss new developments and exchange information.
• Conducts accurate meaningful and actionable analysis to support the needs of SLT department directors/managers and other stakeholders.
• Designs and develops meaningful and actionable models and dashboards for monitoring operational financial quality productivity and/or clinical performance. Develops and leads/manages work plans driving accountability and achievement of timeline meeting all established goals and deadlines.
• Establishes and manages production data and analytics processes and deliverables. Develops and performs QA processes to ensure data accuracy. Troubleshoots issues and errors. Enhances analyses and dashboards as requested. Creates innovative solutions to automate the production of standard reporting and dashboards.
• Responsible for documentation of business requirements data dictionaries operational support guides and other relevant documentation to support the design development governance and sustainment of dashboards and analytic tools.
• Partners with key stakeholders to understand operational challenges needs and processes to develop KPI's dashboards and other effective tools/analysis for measuring improving and managing HealthPlan performance.
• Provides education and coaching as needed to ensure stakeholders understand and effectively utilize reporting analysis dashboards and other key data tools.
• Builds a team that communicates data analysis so it clearly tells a story and provides a guide to action.

Minimal Qualifications
Education

• Bachelor's degree in Business or Informatics or related field required 
• Master's degree or MBA in related field preferred
• One year of relevant education may be substituted for one year of required work experience.

Experience

• 5-7 years Experience in reporting analytics visualization and/or data analysis preferably in a leadership role, including experience in a healthcare environment required 
• 3-4 years Operational and/or clinical data experience required
• One year of relevant professional-level work experience may be substituted for one year of required education.

Knowledge Skills and Abilities

• Critical thinking reasoning and problem-solving.
• Strong interpersonal skills organizing awareness and communication skills.
• Strong facilitation and presentation skills.
• Ability to understand the business need(s) and conduct appropriate analysis to translate data into actionable insights.
• Advanced skill in MS Excel MS Access SQL and Tableau.
• Knowledge of a variety of machine learning techniques (clustering decision tree learning artificial neural networks etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression properties of distributions statistical hypothesis tests proper usage etc.) and experience with applications.