Lead, Data Analyst at Strive Health

, , United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

124000.0

Posted On

01 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Healthcare Claims, Population Health Analytics, Microsoft SQL, Excel, PowerPoint, Data Visualization, Financial Modeling, Problem-Solving, Communication, Forecasting, Analytical Approaches, Trend Analysis, Collaboration, Dashboard Design, Best Practices

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 Lead Data Analyst, Operations Analytics will partner with Operations, Clinical, and Technology leaders in the organization to support new and ongoing initiatives. The Lead Analyst’s primary focus will be to provide in-depth analysis and reporting of core operational programs and new initiatives, while also building and maintaining staffing and engagement forecasts. This person will be a member of a highly experienced and passionate team and will play a key role in defining the future of the organization. Key Responsibilities Build and maintain forecasts and models for engagement and clinician and support staffing. Synthesize data stories through innovate analytical deep dives by factoring in data science, external, internal, operational, and clinical initiatives. Research, hypothesize and develop analytical approaches for identifying, analyzing, and interpreting trends or patterns in complex data sets, particularly in healthcare claims & lab data. Conceptualize and design innovative models to assess viability of new and ongoing initiatives and clinical programs across multiple markets and partners. Collaborate with team members from strategy, clinical and new market functions to identify data driven opportunities to add value to existing and potential partners. Establish best practices for more junior analysts and assist in development of team members. Provide insight to design and build self-service dashboards to measure performance and assist in directing team’s efforts towards initiatives with the largest impact. Identify, communicate, and lead the resolution of data gaps that impede the fulfillment of operational reporting and oversight. Minimum Qualifications Bachelor’s Degree in a relevant field. 4+ years’ experience in healthcare data analysis, preferably with experience in value-based care or population health analytics. Internet Connectivity - Min Speeds: 3.8Mbps/3.0Mbps (up/down): Latency

Responsibilities

The Lead Data Analyst will provide in-depth analysis and reporting of core operational programs and new initiatives, while building and maintaining staffing and engagement forecasts. This role involves collaborating with various teams to identify data-driven opportunities and establishing best practices for junior analysts.