Manager, Enterprise Data Analytics at Strive Health

, , United States -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

124000.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Healthcare Data Analysis, Medical Claim Data, Lab Data, EMR Data, Clinical Data, Microsoft SQL, Excel, PowerPoint, Team Leadership, Project Management, Stakeholder Collaboration, Dashboard Development, KPI Design, Analytical Problem-Solving, Data Literacy

Industry

Hospitals and Health Care

Description

What We Strive For At Strive Health, we’re driven by a purpose: transforming the broken kidney care system. Through early identification, engagement, and comprehensive coordinated care, we significantly improve outcomes for people with kidney disease, reducing emergency dialysis and inpatient utilization. Our high-touch care model integrates with local providers and uses predictive data to identify and support at-risk patients along their entire care journey. We embrace diversity, celebrate successes, and support each other, making Strive the destination for top talent in healthcare. Join us in making a real difference. Benefits & Perks Hybrid-Remote Flexibility – Work from home while fulfilling in-person needs at the office, clinic, or patient home visits. Comprehensive Benefits – Medical, dental, and vision insurance, employee assistance programs, employer-paid and voluntary life and disability insurance, plus health and flexible spending accounts. Financial & Retirement Support – Competitive compensation with a performance-based discretionary bonus program, 401k with employer match, and financial wellness resources. Time Off & Leave – Paid holidays, flexible vacation time, sick time, and paid birthgiving, bonding, sabbatical, and living donor leaves. Wellness & Growth – Family forming services through Maven Maternity at no cost and physical wellness perks, mental health support, and an annual professional development stipend. What You’ll Do 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. The Day to Day 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. Minimum Qualifications 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

Responsibilities

The Manager, Enterprise Analytics will lead a team of analysts to deliver enterprise-level analytics solutions across various domains. This role involves managing team operations, collaborating with stakeholders, and overseeing the development of analytics tools.