Senior Analyst, Analytics - Corporate Reporting

Position Summary:

We areseekinga highly technical and strategic Senior Analyst to serve on our Analytics team. This role is ideal foran experienced analyticsengineer who thrives in hands-on development, mentorship, and cross-functional collaboration.You'lllead the design and implementation of scalable analytics solutions using tools like DBT, GitHub, Snowflake, and Tableau, while helping shape the future of data-driven decision-making at Capital Rx.

Whyyou'lllove working here:

• Opportunity to lead in a highly skilled, technical analytics team in a dynamic and data-driven organization.

• Drive strategic decision-making and build a scalable data foundation for business growth.

• Work withcutting-edgetechnologies and make a meaningful impact on the organization.

Position Responsibilities:

Technical Leadership & Mentorship

• Champion the use of DBT, GitHub, and modern data stack tools to improve code quality, reproducibility, and collaboration.

• Supportthe adoptionof analyticsbest practices and tools through training sessions and knowledge sharing.

• Serveas a senior individual contributor on the Analytics team, setting technical standards and mentoring other analysts.

Data Execution & Optimization

• Designandmaintainmodular, scalable data models in DBT to support reporting and analysis.

• Buildandmaintainself-service analytics tools using Tableau, with exposure toStreamlit.

• Identifyareas for improving efficiency through process improvements, automation, and better data practices.

• Maintaindocumentation of key analytics processes and ensure data quality standards are upheld.

Insights & Analysis

• Conductdata modeling and analysis to generate insights that inform business strategy and process improvements.

• Translatecomplex analytical findings into clear, actionable recommendations using visualizations and presentations.

• Contributeto proactive analytics that support operational and strategic decision-making.

Stakeholder Collaboration & Communication

• Partnerwith product managers, business leaders, and clients to understand analytics needs and prioritize requests accordingly.

• Proactively manageand foster stakeholder relationships by acting as a strategic, consultative advisor with a keen understanding of businessobjectives.

• Advocate for data-driven decision-making across teams and leadership.

Compliance and Quality Assurance

• Ensureadherence to company compliance standards, including reporting any noncompliance.

• Supportthe 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.

MinimumQualifications:

• 2-4 years of experience in data analytics, business intelligence, orrelatedfield.

• Strongproficiencywith GitHub for version control and collaboration.

• Hands-on experience with DBT in production environments.

• Experience in PBM, health plans, healthcare financial / network / operational analytics.

• Familiarity with pharmacy claims data, medical claims data, and client reporting metrics.

• Expertisein SQL and Python for data analysis, with strong coding hygiene and documentation practices.

• Ability to perform complex analyses and synthesize findings into business insights.

• Track recordof partnering closely with internal and external stakeholders to provide consultative analytics support, proactively advising on business opportunities.

• Working knowledge of data engineering fundamentals and working with cloud-based data warehouses (e.g., Snowflake,BigQuery, Redshift).

• Proven ability to prioritize and manage multiple projects in a fast-paced environment.

• Excellent communication and stakeholder management skills, with the ability to present complex data insights to executives.

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.

• Master's degree in Computer Science, Actuarial Science, Statistics, Economics, orrelated fields.