Enterprise Data Analytics Manager, Strive Health

• Bachelor’s Degree in Statistics, Data Analytics, or related field
• 4+ years' experience in healthcare data analysis or related
• 4+ years’ experience analyzing medical claim data, lab data, EMR data and clinical data
• 4+ years’ experience with Microsoft SQL, Excel & PowerPoint
• Internet Connectivity - Min Speeds: 3.8Mbps/3.0Mbps (up/down): Latency <60ms
• Ability to travel and be onsite to meet business needs
• Ability to lead and develop high-performing teams, with a strong focus on fostering collaboration and driving results
• Strong problem-solving skills with the ability to thrive in a fast-paced, dynamic environment
• Skilled at balancing competing priorities, navigating ambiguity, and making informed trade-offs while keeping projects on track
• Please apply even if you feel you do not meet all the qualifications

Desirable

• The Manager, Enterprise Analytics will partner with key internal stakeholders to support new and ongoing analytics initiatives
• This role will be a leader of a highly experienced and passionate team and will play a key role in defining the future of the organization
• The manager’s primary focus will be to lead a team of analysts supporting and advancing initiatives to deliver analytics for operational performance in collaboration with market operations, clinical, strategy, finance, and business development teams
• In addition to managing and mentoring the team, this role will operate as a player-coach—directly contributing to complex analytics projects where strategic thinking, technical depth, and stakeholder alignment are critical
• This role will report to the Senior Director, Enterprise Analytics
• Lead, mentor, and develop a team of data analysts focused on delivering enterprise-level analytics solutions across clinical, operational, and financial domains
• Manage team operations, including project intake, scoping, prioritization, and resource allocation to meet timelines and deliver value
• Collaborate with stakeholders to identify business needs, frame analytical questions, and design scalable analytics solutions that deliver measurable impact
• Oversee the design, development, and deployment of dashboards, KPIs, and self-service analytics tools that drive data literacy and actionability