Manager, Product Analytics - FuzeRx

Fuze Health is dedicated to improving healthcare by connecting patients with essential resources and care providers. As a Manager of Product Analytics, you will lead a team to ensure that high-quality data drives business decisions and product launches, while collaborating with various teams to prioritize impactful data initiatives.

Responsibilities:

• Lead, mentor, and grow a team of Product Analysts, fostering a culture of ownership, technical excellence, and continuous improvement
• Define and execute the long-term vision for Fuze Rx's Product Analytics team, ensuring alignment with company strategy and product roadmaps
• Partner with Product, Engineering, Data Science, Finance, and Operations teams to prioritize and deliver high-impact data initiatives
• Establish clear career paths, performance standards, and hiring plans to scale the team thoughtfully and sustainably
• Build strong stakeholder trust by translating business needs into data insights and scalable data solutions
• Provide close analytics support to evaluate the impact of new product features and enhancements
• Drive best practices in experiment design and analysis
• Communicate insights and new opportunities revealed through data analysis to senior management
• Own Fuze Rx's data transformation logic that take raw data inputs and convert them into scalable, reusable data assets that drive business decisions and insights
• Participate in evolving Fuze Rx’s data platform, defining best practices that shape the long-term analytics ecosystem and establish durable design patterns that ensure long-term scalability and maintainability
• Surface durable, relevant, and reusable dashboards to monitor the health of various products and operations
• Establish and enforce best practices for maintaining a navigable and impactful business intelligence platform

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; advanced degree preferred
• 5+ years of experience in analytics, data science, or related data insights roles
• Strong expertise in analytics engineering and data modeling principles
• Strong expertise in metrics design and instrumentation
• Strong expertise in experiment design and evaluation
• Proven track record working cross-functionally to provide analytics insights to Product and Operations teams
• Expertise creating assets in Looker or an equivalent business intelligence platform
• Experience operating in high-growth, fast-paced technology organizations
• Strong communication skills with the ability to influence technical and non-technical stakeholders alike
• 1+ years of experience leading high-performing technical teams
• Experience building and analyzing data assets in healthcare, pharmacy, fintech, or other regulated industries
• Familiarity with HIPAA and healthcare data privacy standards
• Strong SQL and programming proficiency (e.g., Python, Scala, or similar)