courierhealth
Value Engineer
At a Glance
- Location
- New York, United States
- Experience
- 5+ years
- Compensation
- target level for this role is $130,000 - $160,000 + equity + benefits, includin
- Posted
- 2026-03-02T08:14:39-05:00
Key Requirements
Required Skills
Domain Knowledge
- Healthcare
- Pharmaceutical
- SaaS
Benefits & Perks
r funded match Unlimited Vacation Commuter Benefits Paid parent
Requirements
Strong passion for Courier Health's mission and improving patient outcomes through technology
3-5+ years of experience in analytics or data science
Expert-level SQL skills + AI Fluency
Experience building automated dashboards or reporting systems
Proven ability to design experiments, build cohort analyses, and identify confounding variables and data quality issues
Exceptional ability to communicate complex analytical findings to data scientists, business stakeholders, and executives
Compensation & Benefits
100% paid employee health benefit options (including medical, dental, and vision)
401(k) with employer funded match
Unlimited Vacation
Commuter Benefits
Paid parental leave
Catered lunch on Fridays
Responsibilities
In the Customer Value Engineer role, you will be responsible for quantifying, communicating, and systematizing the value Courier Health delivers to our clients. This role combines analytical rigor with storytelling capability to help our customers understand the tangible impact of our platform on patient outcomes, customer engagement, and operational efficiency.
You will build automated systems to capture value metrics, design rigorous analyses that account for statistical nuances, and translate complex data insights into compelling narratives that resonate with client stakeholders from data scientists to C-suite executives.
Measure, benchmark, and communicate value across therapeutic areas and program types. Build standardized value narratives, benchmark datasets, and reusable templates for QBRs, executive touchpoints, and renewal conversations
Design and implement automated dashboards and reporting systems that surface real-time value metrics at scale. Build self-service analytics tools that eliminate manual work and enable the team to answer client questions quickly
Lead sophisticated client analyses with tight timelines. Design segmentation and cohort studies, identify confounding variables and data quality issues, and communicate methodologies and limitations with clarity
Partner with Client Solutions and Sales to deliver data-driven materials for executive meetings. Translate complex findings into clear compelling value narratives