Director of Healthcare Data & Quality Analytics

Public Consulting Group LLC (PCG) is a leading public sector solutions implementation and operations improvement firm that partners with health, education, and human services agencies to improve lives. Founded in 1986, PCG employs approximately 2,000 professionals throughout the U.S.—all committed to delivering solutions that change lives for the better. The firm is a member of a family of companies with experience in all 50 states, and clients in three Canadian provinces and Europe. PCG offers clients a multidisciplinary approach to meet challenges, pursue opportunities, and serve constituents across the public sector. To learn more, visit www.publicconsultinggroup.com.

We are seeking a detail-oriented and self-motivated Healthcare Data & Quality Analytics Consultant to join our team. This role involves analyzing large healthcare datasets, developing and implementing quality measures, and supporting strategic initiatives through data-driven insights. This role requires a strong background in data science, healthcare analytics, and a deep understanding of Medicaid claims data. The ideal candidate will have strong SQL skills, experience with tools like Power BI and Databricks, and a passion for improving healthcare outcomes.

Key Responsibilities:

• Analyze large-scale healthcare datasets with minimal supervision to extract actionable insights.
• Ensure data integrity, reproducibility, and compliance with regulatory and privacy standards (e.g., HIPAA)
• Utilize SQL, Power BI, and Databricks to calculate and report on standard and customized quality measure sets.
• Collaborate with cross-functional teams to define specifications for quality measures and key performance indicators (KPIs).
• Document business processes and analytical methodologies to ensure transparency and repeatability.
• Develop a working knowledge of federal and state Medicaid policies, particularly those related to claims data.
• Develop and implement claims-based quality metrics to assess the performance of Medicaid programs.
• Analyze large datasets of Medicaid claims to identify trends, patterns, and insights.
• Collaborate with healthcare providers, policymakers, and other stakeholders to ensure the relevance and accuracy of quality metrics.
• Design and conduct statistical analyses to evaluate the impact of policy changes on Medicaid outcomes.
• Provide technical expertise and support to other team members on data analysis and interpretation.
• Support the implementation of major project phases and contribute to project planning and execution.
• Assist in the development and coordination of proposals and client submissions.
• Contribute to the preparation of client deliverables, including written reports, presentations, and status updates.
• Present findings and updates to clients in a clear and professional manner.
• Perform additional duties as needed to support team and client success
• Strong interpersonal, organizational, research, presentation, time management, and oral and written communication skills
• A detail-oriented problem-solving approach to business and technical issues
• Flexibility and willingness to embrace change
• Self-starter possessing intellectual curiosity
• A commitment to deliver exceptional client service
• Strong analytical skills, including the ability to review quality measures and analyze policy and legislation
• Ability to work both in a team and autonomously
• Proficiency in Microsoft applications, in particular PowerBI, PowerApps.
• Experience with SQL

Preferred Skills:

• Experience with managed care organizations, Medicaid Managed Care, and/or state Medicaid agencies.
• Knowledge of Agile or Scrum project management methodologies
• Experience with Databricks
• Experience with healthcare data standards (ICD, CPT, HCPCS, UB-04, 837/835 transactions)
• Experience with scripting languages (Python, R) or ETL tools for advanced data processing
• Experience designing and implementing statistical models to assess the impact of interventions or policy changes, such as interrupted time series and difference-in-difference
• Experience with machine learning and predictive modeling techniques
• Familiarity with reporting tools and dashboard design
• Ability to translate complex regulatory requirements into practical system solutions.
• Master's in Data Science, Statistics, Public Health, Health Informatics, or a related field.

Working Conditions

• Office Setting

The above is intended to describe the general contents and requiremen