Managing Consultant – Data & Analytics – Healthcare

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee clinical quality analytics workstreams, ensuring the design, execution, and quality assessment of both qualitative and quantitative analyses.

• Gather, integrate, validate, and analyze healthcare claims along with associated data to evaluate cost, utilization, quality, and provider performance.

• Create data-driven analyses that support value-based care, pay-for-performance initiatives, and other clinical quality programs.

• Build reproducible data pipelines, analytic code, dashboards, reports, and visualizations.

• Convert complex findings into client insights, actionable recommendations, and high-level presentations for executives.

• Utilize analytical methods to research healthcare quality measures, program specifications, and industry standards.

• Manage client relationships at the representative level, customizing communications for each audience.

• Examine source data, analytic methods, and deliverables for inconsistencies, quality concerns, risks, and areas for improvement.

• Identify next steps and alternatives, manage assigned tasks autonomously, and adhere to client deadlines and quality standards.

• Guide junior team members in analytic techniques, healthcare data, clinical quality principles, and quality-control methodologies.

⛳️ Requirements

• Minimum of five years of experience in healthcare data and analytics, consulting, or a related role within the healthcare sector.

• Bachelor’s degree, master’s degree, or equivalent experience in fields such as analytics, computer science, economics, finance, accounting, statistics, econometrics, public health, engineering, or other relevant disciplines.

• Proven experience in analyzing claims data, including Medicare Provider Analysis and Review (MedPAR), Limited Data Set (LDS), Virtual Research Data Center (VRDC), Merative, Healthcare Cost and Utilization Project (HCUP), all-payer claims, or Medicare-Medicaid claims.

• Expertise in value-based care or quality programs, such as pay-for-performance models.

• Proficient in SQL, Snowflake, Python, and SAS.

• Familiarity with Git/GitHub, Snowflake, and Tableau.

• Excellent written and verbal communication abilities, with the capacity to present findings clearly to client executives and internal leadership.

• Willingness to travel regularly, approximately 20%, based on project needs and client expectations.

• Capability to provide verification of legal authorization to work in the U.S. without company sponsorship.

• Preferred qualifications include manager-level experience; familiarity with EMR, pharmacy, provider, or HealthVerity data; expertise in hospital quality; and experience with PySpark or Truveta Prose; Tuva, Databricks, or VRDC.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and career advancement.

• A collaborative and supportive work environment.