Job Summary:

Key Responsibilities:

• Lead analytics projects, collaborating with business stakeholders to develop and deliver reporting solutions and actionable insights.
• Produce strategic insights on program performance, compliance, utilization trends, and financial projections.
• Ensure data integrity by developing and maintaining clear documentation of query logic, methodologies, and key assumptions.

• Work cross-functionally with internal teams to align analytical insights with business objectives, regulatory requirements, and financial considerations.
• Proactively engage and partner with stakeholders on project scoping, logic development, and documentation.
• Advocate for data-driven decision-making across teams and leadership.

• Apply expertise in data analytics to identify opportunities for process optimization, automation, and improved reporting methodologies.
• Translate complex data findings into actionable insights, creating visualizations and presentations for stakeholders ranging from operational teams to executive leadership.
• Build and maintain standard and ad hoc reports.

• Ensure adherence to company compliance standards, including reporting any noncompliance.
• Support the development and implementation of quality controls and departmental standards to satisfy organizational and regulatory requirements.
• Participate in internal training sessions to support continued learning and development.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.

Qualifications & Experience:

• 3+ years of experience in data analytics, business intelligence, or a related field.
• 1+ years of experience in PBM, health plans, healthcare, or Medicare.
• Experience working with pharmacy claims data, medical claims data, and client reporting metrics.
• Proficiency in SQL, Python, or R for data analysis, with strong coding hygiene and documentation practices.
• Hands-on experience with BI tools such as Tableau.
• Knowledge of data engineering fundamentals and working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Strong ability to work cross-functionally with business stakeholders.
• Excellent written and verbal communication skills with the ability to present insights effectively.
• Experience mentoring team members and leading knowledge sharing.
• Attention to detail & commitment to delivering high quality work product.

Preferred Qualifications:

• Experience working in large-scale, high-growth organizations.
• Knowledge of machine learning or advanced statistical modeling techniques.
• Familiarity with Agile project management methodologies.
• Bachelor’s degree in Computer Science, Actuarial Science, Statistics, Economics, or a related field.
• GitHub and dbt experience.

Why Join Us?

• Contribute to a highly skilled, technical analytics team in a dynamic and data-driven organization.
• Support strategic decision-making and build a scalable data foundation for business growth.
• Work with cutting-edge technologies and make a meaningful impact on the organization.