Blink Health Senior Analyst, Client Analytics develops insights to help pharmaceutical manufacturer clients understand program performance and patient journey. Partners with multiple teams to turn complex data into actionable insights.
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.
Evaluate performance across dimensions such as product, program, channel, provider, payer, and geography.
Establish measurement frameworks and KPIs for new client programs and initiatives.
Insights & Client Storytelling
Translate complex analyses into clear, actionable insights and recommendations for Account Management and client stakeholders.
Support client business reviews and strategic discussions with compelling analytics and data-driven narratives.
Proactively identify emerging trends, risks, and opportunities that strengthen client conversations and program performance.
Clearly communicate what happened, why it happened, and what actions should be considered
Qualification
Bachelor’s degree in BusinessExperience with pharmaceuticalExperience with patient-levelPython or R experience is a plusSkills & Competencies
Required
Bachelor’s degree in Business, Analytics, Statistics, Economics, Computer Science, or a related quantitative field.
5+ years of experience in pharmaceutical, healthcare, commercial, client, or business analytics.
Experience with pharmaceutical, pharmacy, patient services, hub services, or life sciences data strongly preferred.
Demonstrated experience analyzing prescription, patient journey, or program performance and translating findings into business insights.
Expert-level proficiency in SQL and data modeling.
Strong experience with Tableau or similar BI platforms.
Experience with patient-level, prescription, pharmacy, claims, or patient services data preferred.
Experience supporting client-facing or Account Management teams preferred.
Experience leveraging AI-enabled analytics and development tools (e.g., Cursor, Claude, MCP-based tools) to accelerate SQL development, data exploration, analysis, documentation, and workflow automation strongly preferred.
Python or R experience is a plus.
Skills & Competencies
Strong analytical and problem-solving skills with the ability to independently investigate complex business questions.