Manager, Analytics - Business Insights

Key Responsibilities

• Team Support & Project Management
• Support the adoption of analytics best practices and tools through training sessions and knowledge sharing.
• Coach data analysts within the team, contributing to their professional development and fostering a collaborative team environment.
• Data Execution & Optimization
• Contribute to the execution of data analytics initiatives that align with business needs.
• Collaborate on the development of 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.
• 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.
• Contribute to proactive analytics that support operational and strategic decision-making.
• 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.

Qualifications & Experience

• 4-6 years of experience in data analytics, business intelligence, or a related field.
• Experience in PBM, health plans, healthcare, or Medicare.
• Familiarity with pharmacy claims data, medical claims data, and client reporting metrics.
• Expertise in SQL, Python, or R 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).
• Prioritized and managed multiple projects in a fast-paced environment.
• Excellent communication and stakeholder management skills, with the ability to present complex data insights to executives.