Champion the use of DBT, GitHub, and modern data stack tools to improve code quality, reproducibility, and collaboration.
Support the adoption of analytics best practices and tools through training sessions and knowledge sharing.
Serve as a senior individual contributor on the Analytics team, setting technical standards and mentoring other analysts.
Design and maintain modular, scalable data models in DBT to support reporting and analysis.
Build and maintain self-service analytics tools using Tableau, with exposure to Streamlit.
Identify areas for improving efficiency through process improvements, automation, and better data practices.
Maintain documentation of key analytics processes and ensure data quality standards are upheld.
Conduct data modeling and analysis to generate insights that inform business strategy and process improvements.
Translate complex analytical findings into clear, actionable recommendations using visualizations and presentations.
Contribute to proactive analytics that support operational and strategic decision-making.
Partner with product managers, business leaders, and clients to understand analytics needs and prioritize requests accordingly.
Proactively manage and foster stakeholder relationships by acting as a strategic, consultative advisor with a keen understanding of business objectives.
Advocate for data-driven decision-making across teams and leadership.
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.

Requirements

2-4 years of experience in data analytics, business intelligence, or related field.
Strong proficiency with 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.
Expertise in 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 record of 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.

Benefits

Health insurance
401(k)
Flexible work hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

DBTGitHubSQLPythondata modelingdata analysisdata visualizationanalytics best practicesautomationcloud-based data warehouses

Soft Skills

mentoringstakeholder managementcommunicationconsultative advisingcollaborationprocess improvementtrainingprioritizationproject managementdata-driven decision-making