Senior Data Analyst
About The Position
Mid-Atlantic Permanente Medical Group (MAPMG) is hiring a full-time Senior Data Analyst for its Operational Analytics department. The position is based out of the regional office in Washington, D.C., with a hybrid work model. MAPMG comprises more than 1,700 Permanente physicians and nearly 300 staff professionals serving more than 800,000 members across Virginia, Maryland, and the District of Columbia. Reporting to the Lead Data Consultant, the Senior Data Analyst provides analytical and consulting support to MAPMG leadership to inform strategic decisions. The role leads complex analytics projects, develops clinical, operational, and financial analyses, and turns data from multiple enterprise systems into actionable insights and recommendations. The position also supports healthcare quality measurement and reporting, including HEDIS, and helps stakeholders use data to guide quality improvement and organizational decisions. Candidates must be able to commute to Washington, D.C. as needed and must currently live in or be willing to relocate to the Washington, D.C. metropolitan area. Documentation of influenza vaccination is a condition of employment. External hires must pass a background check and drug screening.
Requirements
- Master’s degree.
- At least two to three years of experience in data analysis.
- High proficiency with Databricks, Python, Power BI, advanced SQL, and Excel.
- Experience manipulating and interpreting multiple large databases or data warehouses.
- Knowledge of or experience with database programming, data mining, advanced SQL queries, data transformation, and data validation.
- Strong analytical and problem-solving skills.
- Effective written and verbal communication skills.
- Ability to translate complex data and analytical findings into meaningful insights for stakeholders and organizational leaders.
- Ability to commute to Washington, D.C. as needed.
- Must currently live in or be willing to relocate to the Washington, D.C. metropolitan area.
- Must provide documentation for the influenza vaccine as a condition of employment.
Nice To Haves
- Experience using Python for advanced data analytics.
- Prior healthcare data analysis experience.
- Experience working with Epic/HealthConnect clinical and Electronic Medical Record (EMR) data.
- Experience developing interactive dashboards and data visualizations using Power BI.
- Experience using Databricks for scalable data processing, collaborative analytics, and healthcare quality reporting pipelines.
- Databricks- or Python-related certification.
Responsibilities
- Lead the development, maintenance, and validation of HEDIS and other healthcare quality measures, ensuring accurate, consistent, and reliable results aligned with applicable specifications.
- Develop and maintain measure- and member-level reporting to track weekly, monthly, and year-to-date HEDIS performance, monitor trends and progress toward targets, identify care gaps and variances, and support quality improvement initiatives.
- Lead complex data analytics projects and reporting initiatives that support strategic and operational decision-making.
- Partner with medical directors, physicians, and internal and external stakeholders to gather requirements and translate business needs into technical and analytical solutions.
- Develop complex clinical and operational reports on utilization, performance, efficiency, patient care, and other service-area metrics.
- Extract, clean, transform, validate, analyze, and report data using SQL, Databricks, Power BI, Python, and Excel.
- Develop, optimize, and automate data pipelines, analytical processes, and recurring reports.
- Identify and resolve issues in existing data and reporting processes while accommodating new business requirements.
- Develop proofs of concept and innovative solutions to improve analytics, reporting methodologies, and operational processes.
- Provide stakeholder education and management consultation related to analytics, reporting, and data-driven decision-making.
- Train and mentor data analyst interns on database, analytics, and reporting projects.
Benefits
- Competitive compensation package.
- Medical and dental insurance premiums for employees and families are 100% employer-funded, effective on the first day of employment.
- Generous paid time off, including vacation, holidays, and sick leave.
- Maternity and parental leave.
- Pension plan.
- 401(k) retirement plan with employer contributions.
- Life insurance.
- Short-term disability coverage.
- Long-term disability coverage.
- Education reimbursement.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
