Healthcare Growth Strategy and Analytics Manager
Remote
Full Time
Manager/Supervisor
About the Company
Launched in 2018, OI Infusion aims to improve the patient and provider experience while simultaneously lowering costs for both providers and payers. The company operates both an infusion management service organization (MSO) and a network of multi-site ambulatory specialty infusion centers, called Novella. The MSO business line offers services such as staffing, managing operations, and revenue cycle operations for physician practices, enabling the specialty groups to provide infusion services to their patient base. We help our partners treat their patients in a comfortable, convenient, and affordable setting. The Novella ambulatory specialty infusion centers allow business to contract directly with payers and are a major lever for future growth. Since its inception, Novella has scaled to operate over 35 clinics in the New England region.
About the Role:
Location: Remote (EST)
Salary: Up to $110k DOE
This role sits at the intersection of data, analytics, and growth execution, serving as a hands-on partner embedded within the growth function. This role focuses on enabling growth through direct engagement with data architecture, analysis, and framework development. Spending significant time working with data systems building queries, structuring datasets, and ensuring data integrity to evolve into a key driver of insights and strategic decision-making.
Over time, the role will become highly technical, requiring strong capabilities in data manipulation and infrastructure. Transitioning toward advanced analytics, insight generation, and close strategic partnership with growth leaders. This position requires the ability to operate fluidly across both technical and analytical domains.
The primary responsibility is to transform the CRM, market data tools, Trella/TA, and Looker into actionable frameworks that guide decision-making and drive accountability across the growth team. The ideal candidate is motivated to build from the ground up designing data models, creating prioritization frameworks, and establishing scalable processes while growing into a long-term strategic partner for the organization.
Key Responsibilities:
Growth Strategy & Planning
- Partner with the Growth Lead to define, refine, and operationalize short- and long term growth strategy
- Translate strategic priorities into clear initiatives, success metrics, and execution roadmaps
- Support annual and quarterly growth planning, including market prioritization, client segmentation, and resource allocation
- Identify opportunities to improve growth efficiency, scalability, and return on investment
- Own the growth analytics function — integrating market data (Trella/TA), CRM activity, referral data, and internal drug/treatment margin data into a unified view that informs how we prioritize targets, measure performance, and identify market share opportunity
- Develop and maintain dashboards and reporting that track performance against growth goals, partner outcomes, and service-level expectations
- Analyze trends across markets, partners, therapies, and pipelines to inform decision making and prioritization
- Understanding between high revenue and high-value referral sources and ensuring data signals are connected to both commission structure and field prioritization.
- Bachelor’s degree required
- 4+ years of experience in growth strategy, analytics, consulting, sales operations, or a related leadership role; experience within healthcare environment strongly preferred.
- Proficiency in SQL required; experience with Looker or comparable BI tools strongly preferred; Python a plus
- Strong analytical skills with the ability to synthesize complex data into clear, actionable insights.
- Experience building dashboards, KPIs, and performance management frameworks
- Healthcare services experience preferred (specialty pharmacy, home infusion, ambulatory infusion, or referral-based sales environments).
- Familiarity with healthcare reimbursement structure and buy-and-build models
- Proficiency with agentic AI tools required to accelerate analysis, automate workflows, draft frameworks, and augment research capacity.
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