Data Analyst III, PBM Client Success

We are seeking an experienced, data-driven analyst to transform complex pharmacy benefits management (PBM) data into actionable insights that demonstrate client value and improve healthcare outcomes. In this role, you will lead sophisticated analytics, evaluate clinical program effectiveness, and deliver strategic recommendations to clients and internal stakeholders. You will work closely with customer success, clinical, operations, and data teams to develop scalable analytical solutions and improve reporting processes. Using advanced SQL, statistical modeling, and claims analysis, you will help identify trends, investigate data discrepancies, and measure the impact of pharmacy benefit programs. You will also contribute to analytics infrastructure improvements, mentor junior analysts, and help shape new data-driven products and capabilities. This remote opportunity is ideal for an analytical problem-solver who combines technical expertise with strong client communication and a passion for improving healthcare value.

• A bachelor’s degree in Analytics, Computer Science, or a related discipline, or equivalent professional experience.

• 4–6 years of experience in quantitative analytics, including advanced analytical modeling and analysis of large datasets.

• At least 4 years of industry experience querying and analyzing pharmacy benefit management claims data.

• Expert-level proficiency in SQL, including the ability to query, manipulate, validate, and analyze complex datasets.

• Strong understanding of relational databases, database structures, and data management principles.

• Experience using data and analytics services within cloud environments, preferably AWS.

• Demonstrated ability to evaluate trends, interpret complex data, and communicate meaningful findings to strategic clients during calls, presentations, and business reviews.

• Experience gathering, clarifying, and documenting requirements from clients or business stakeholders and translating them into effective analytical solutions.

• Strong written and verbal communication skills, with the ability to explain technical findings to both technical and nontechnical audiences.

• Experience developing analytical tools, business memos, presentations, and reporting materials that support data-driven decision-making.

• Proven ability to guide analytical standards, mentor junior team members, and contribute to continuous improvement across a team.

• Strong attention to detail and a structured approach to problem-solving, particularly when investigating claims discrepancies and validating reporting accuracy.

• Excellent interpersonal and collaboration skills, with the ability to work effectively across customer success, clinical, operational, and technical teams.

• Preferred qualifications include experience in clinical navigation, 5+ years of pharmacy benefit management experience, Python programming, dbt, version control systems, and hands-on AWS implementation.

• A client-focused mindset and a strong interest in using analytics to improve healthcare services, clinical program performance, and pharmacy benefit value.