OverviewThe
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 ResponsibilitiesClient & 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
Data & Analytics- Use SQL and data modeling to query, transform, and analyze large and complex patient and prescription datasets.
- Design and maintain dashboards and analytical tools using Tableau and other BI platforms.
- Partner with Data Engineering to develop scalable patient, prescription, and client data models and ensure data quality.
- Identify opportunities to automate and scale recurring client reporting and analytics.
- Maintain clear KPI definitions, business rules, and analytical methodologies.
Qualifications- 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.
- Strong understanding of patient journey and prescription performance analytics.
- Excellent data visualization, communication, and storytelling skills.
- Ability to translate technical findings into insights meaningful to pharmaceutical clients and business stakeholders.
- AI-forward mindset, with demonstrated curiosity and ability to incorporate emerging AI tools into day-to-day analytics workflows.
- Ability to identify opportunities to use AI and automation to streamline recurring analyses, surface insights, and improve analytics delivery.
- Strong attention to data quality, accuracy, and detail.
- Collaborative, curious, and comfortable operating in a fast-paced environment.
In this role, you'll turn patient and prescription data into insights that help pharmaceutical manufacturer clients understand performance, optimize their programs, and ultimately help more patients access the medications they need.
