Senior Analyst, Analytics - Clinical Reporting

Location: Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area)

Position Responsibilities:

• Analyze pharmacy claims, medical claims, and clinical datasets.
• Independently develop and deliver ad hoc and recurring analytics supporting clinical program management, formulary strategy, utilization review, savings identification, and regulatory reporting.
• Collaborate with clinical, operational, and business stakeholders to define requirements and deliver data-driven solutions that address business needs.
• Integrate quantitative and qualitative analyses to evaluate program performance, utilization trends, member disruption, and financial impact.
• Develop dashboards, automated reporting solutions, and data visualizations to support internal and external reporting needs.
• Translate analytical findings into clear business recommendations and present results to audiences ranging from operational teams to senior leadership.
• Partner with cross-functional teams to acquire, validate, and reconcile data required for reporting and analytics initiatives.
• Lead portions of cross-functional projects, contributing analytical expertise while helping identify process improvement, automation, and optimization opportunities.
• Create and maintain documentation, methodologies, data definitions, and business rules supporting clinical reporting and analytics processes.
• Review peer analyses for accuracy and consistency, promote best practices in data and code quality, and provide mentorship to junior analysts.
• Support departmental quality controls, governance standards, and continuous improvement initiatives.

Minimum Qualifications:

• 4 years of experience in analytics, business intelligence, healthcare consulting, benefits consulting, financial consulting, or a related analytical field.
• 2+ years of PBM, health plan, healthcare services, or related industry experience.
• Experience working directly with pharmacy claims and/or medical claims data.
• Advanced SQL skills and experience querying large, complex datasets.
• Proficient with Python for data analysis.
• Proficient with GitHub and version control workflows.
• Experience with Tableau and data visualization.
• Experience performing complex analyses and communicating insights to business stakeholders.
• Knowledge of statistics, data modeling, and healthcare analytics methodologies.
• Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
• Strong written, verbal, and presentation communication skills.
• Demonstrated ability to work independently while collaborating effectively with cross-functional teams.
• High attention to detail and commitment to delivering high-quality work.

(Optional) Preferred Qualifications:

• Experience leading small projects, mentoring team members, or coordinating work across multiple stakeholders.
• Experience identifying and implementing process automation opportunities.
• Bachelor's degree in a relevant field or equivalent experience.