Manager, Analytics – insights

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position Summary:
We are seeking a highly analytical and collaborative Manager to support and grow our Analytics team. This role requires strong technical skills in data analysis along with the ability to manage projects and support cross-functional teams. The ideal candidate will have experience mentoring analysts, managing business-critical requests, and contributing to a scalable data foundation that drives decision-making. This individual will play a key role in promoting efficiency, consistency, and innovation across our Analytics team.

Why you’ll love working here:

• Our work makes a difference. We are a highly motivated team of specialists on a mission to improve the U.S. healthcare system for over 5 million members.
• We value diverse perspectives. We bring our full, authentic selves to a culture that values high performance and genuine connection.
• We are scaling fast. We are a rapid-growth organization with a strong financial outlook, affording stability while paving the way for innovation and creativity at every turn.

Key Responsibilities:

Insights & Analysis

• 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.

• Proactively identify and contribute to analytics projects that support operational and strategic decision-making.

Data Execution & Optimization

• Contribute to strategic analytics initiatives that align with business needs.

• Collaborate in developing scalable processes for data collection, analysis, and reporting

• 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.

Stakeholder Collaboration & Communication

• 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.

Team Support & Project Management

• Set and track priorities, ensuring timely delivery and alignment with business goals.

• Champion analytics best practices and tool adoption by leading training sessions, sharing knowledge asynchronously, or holding stakeholder meetings and office hours.

• Contribute to professional development goals by coaching team members and fostering a collaborative team environment.

Compliance and Quality Assurance

• 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:

• Bachelor’s degree, with record of strong academic performance in Computer Science, Actuarial Science, Statistics, Finance, Economics, or similar (advanced degree preferred but not required).

• 4-6 years of proven experience in data & analytics, benefits consulting, financial consulting, etc.

• 3+ years’ experience with PBM, health plan, healthcare, pharmacy claims and/or medical claims.

• Expert in SQL or Python for data analysis, with strong code hygiene and annotation practice

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

• 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.
• Knowledge of actuarial methods, risk analysis, or advanced statistical modeling techniques
• Working knowledge of data engineering fundamentals and working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift). Able to work with both structured and unstructured data.
• Proven ability to prioritize and manage multiple projects in a fast-paced environment, primarily using Agile project management principles.
• Excellent communication and management skills, partnering closely key stakeholders to provide consultative support both internally and externally.
• Previous experience with GitHub and dbt, or the ability to adapt rapidly.

 

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