Analyst, Client Analytics

**Company Overview:

**Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody.  Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients. 

BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock. 

We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!

Overview

The Senior Analyst, Client Analytics develops insights that help pharmaceutical manufacturer clients understand program performance, prescription trends, and the patient journey. This role partners closely with Client/Account Management, Operations, Data Engineering and other teams to turn complex data into actionable insights that strengthen client relationships and drive program performance.

The ideal candidate combines expert-level SQL and data modeling skills with strong business acumen, client storytelling capabilities, and an AI-forward approach to analytics.

Key Responsibilities

Client & Patient Journey Analytics

• Partner with Client/Account Management to provide analytics supporting pharmaceutical manufacturer relationships, business reviews, and program optimization.
• Develop and maintain client KPIs, dashboards, and scorecards focused on prescription, patient journey, and program performance.
• Analyze script volume, conversion, fulfillment, abandonment, persistence, and other patient journey metrics to identify trends, opportunities, and performance drivers.
• Conduct funnel, cohort, trend, and deep-dive analyses to understand where patients progress, experience friction, or fall out of the journey.