Client-Facing PBM Analytics Lead

Judi Health, LLC; United States; Hybrid; USD 151,000 - 189,000; Full time

Job summary

Judi Health is seeking a highly analytical, client-facing Staff Analyst to support and grow our Analytics team in the U.S. The role requires strong PBM knowledge, advanced data analysis skills, and the ability to translate pharmacy benefit and claims data into clear insights for clients and internal stakeholders.

With 4–6 years of experience, you will lead analyses, develop dashboards, present findings to clients, and collaborate across teams to create scalable analytics and compliant,

Qualifications

• 4–6 years of data analytics experience in healthcare or BI.
• Strong PBM industry knowledge with claims data experience.
• Proficiency in SQL and BI tools; cloud data environments.
• Ability to translate data into client-ready insights and recommendations.
• Excellent presentation and client-facing communication.

Responsibilities

• Lead client-facing PBM analytics to answer questions across datasets.
• Develop client-ready analyses, dashboards, and reports.
• Present findings to clients and internal stakeholders in a clear, actionable way.
• Partner with product, business, and client teams to prioritize analytics requests.
• Maintain quality controls and scalable analytics standards across projects.

Skills

Data analytics

PBM knowledge

Client-facing

Presentation skills

Cross-functional collaboration

Education

Master's degree in CS/Statistics/Economics

Analytics certifications

Tools

SQL

Tableau

Snowflake

BigQuery

Redshift

Job description

Judi Health is seeking a highly analytical, client-facing Staff Analyst to support and grow our Analytics team in the U.S. The role requires strong PBM knowledge, advanced data analysis skills, and the ability to translate pharmacy benefit and claims data into clear insights for clients and internal stakeholders.

With 4–6 years of experience, you will lead analyses, develop dashboards, present findings to clients, and collaborate across teams to create scalable analytics and compliant,