The PositionThe Senior Analyst, Insights & Analytics - Rare Disease serves as the primary day-to-day commercial analytics partner for assigned U.S. Rare Endocrine Disorders (RED) workstreams, with an initial focus on growth hormone deficiency (GHD).
The Senior Analyst independently owns defined analytical workstreams from business-question framing through execution, interpretation, communication, and follow-through. The role delivers secondary analytics that inform brand strategy, launch and in-market performance, customer and account opportunity, business reviews, and commercial decisions. Working within priorities established by the Director and shared portfolio standards, the Senior Analyst maintains direct stakeholder relationships and is accountable for timely, accurate, and decision-relevant outputs within the assigned scope.
A core responsibility is applying and advancing AI-enabled analytics within assigned workstreams. The Senior Analyst identifies practical use cases and develops or prototypes approved automation, custom GPT/LLM-based assistants, agentic workflows, natural-language analytics, and self-service capabilities that improve speed, consistency, accessibility, or quality while maintaining appropriate validation, governance, and human review.
The Senior Analyst partners with primary market research and specialized analytics functions to integrate relevant evidence into a coherent commercial perspective. The role also contributes to shared Rare Disease methods, data assets, and scalable capabilities when assigned, without displacing primary RED/GHD accountability.
RelationshipsThis role reports to the Director of U.S. Rare Disease Insights & Analytics and serves as the primary day-to-day analytics partner for assigned RED workstreams, including GHD.
The Senior Analyst builds direct working relationships with Product Directors, Commercial Leadership, Sales Leadership, Forecasting, Finance, Medical Affairs, global insights partners, Enterprise Insights & Analytics, data and technology teams, and other cross-functional stakeholders. For assigned workstreams, the Senior Analyst independently clarifies business questions, aligns analytical plans and timelines, communicates findings, and follows through on agreed actions. Material priority, capacity, resource, stakeholder, or business-risk decisions are escalated to the Director.
The Senior Analyst collaborates with the Manager on shared methodologies, portfolio standards, AI-enabled capabilities, cross-portfolio dependencies, and quality review for high-impact priorities. The Director sets team priorities, resolves material resource tradeoffs, and retains performance-management and development accountability. The Senior Analyst remains a direct report to the Director and owns assigned analytical workstreams and deliverables end to end.
The Senior Analyst works with the designated primary market research lead and with Field Analytics, Market Access Analytics, and Patient Analytics to coordinate business questions and integrate relevant outputs. Those functions retain accountability for their respective analytics strategies, methodologies, and deliverables.
Externally, the Senior Analyst may work with data providers, analytics vendors, consultants, and technology partners on defined projects, including scope coordination, quality review, documentation, and delivery.
Essential FunctionsRare Endocrine Analytics Ownership & Business Partnership• Independently owns defined analytics workstreams supporting RED, including GHD, from business-question framing through recommendation and follow-through.
• Translates strategic and operational business questions into clear hypotheses, analytical objectives, methods, deliverables, and decision criteria.
• Develops and manages workplans, milestones, dependencies, and stakeholder expectations for assigned analyses and recurring deliverables.
• Maintains direct stakeholder relationships for assigned workstreams and proactively identifies emerging questions, risks, and opportunities.
• Balances recurring and ad hoc priorities in alignment with the Director; escalates material capacity, scope, or timing conflicts with recommended tradeoffs and coordinates shared methodology or cross-portfolio dependencies with the Manager.
• Retains accountability for the accuracy, completeness, interpretation, documentation, and timely delivery of assigned analytical outputs.
Commercial Analytics & Business Performance Insights• Integrates and analyzes relevant claims, specialty pharmacy, prescriber, account, product, sales, and other commercial data within the assigned RED/GHD analytics scope.
• Develops KPI frameworks, measurement plans, scorecards, and analytical approaches that connect commercial strategy with measurable outcomes.
• Conducts analytics supporting launch readiness and tracking, in-market performance, prescriber and account dynamics, customer opportunity, and other commercial performance questions.
• Leads preparation of recurring RED/GHD business-performance reviews, translating complex data into clear perspectives on trends, drivers, risks, opportunities, and recommended actions.
• Performs prescriber-, account-, product-, and market-level analyses to identify adoption patterns, performance drivers, and commercial opportunities.
• Conducts rapid-response and ad hoc analyses for emerging questions, unexpected performance changes, and leadership priorities.
• Partners with Forecasting and other functions to connect observed performance and analytical findings with planning assumptions and business discussions.
• Ensures conclusions reflect Rare Disease data limitations, including small and concentrated populations, data lag, coverage gaps, longitudinal inconsistency, and uncertainty.
Reporting, Data Quality & Self-Service Analytics• Develops, enhances, and maintains dashboards, scorecards, and reporting tools that provide stakeholders with timely and decision-relevant information.
• Applies consistent business definitions, calculation logic, refresh schedules, documentation, and quality controls across assigned deliverables.
• Investigates data discrepancies, documents root causes, and coordinates resolution with appropriate data owners and enterprise partners.
• Identifies opportunities to simplify recurring reporting, eliminate duplicative work, and automate repeatable analytical processes.
• Builds reusable data assets, templates, and self-service capabilities that improve consistency and create capacity for higher-value analysis.
• Monitors stakeholder adoption and usefulness of analytics products and recommends improvements based on business needs and feedback.
AI-Enabled Analytics, Automation & Innovation• Contributes to the portfolio AI-enabled analytics roadmap by identifying practical use cases within assigned RED/GHD workstreams.
• Develops or prototypes approved automation, custom GPT/LLM assistants, agentic workflows, natural-language analytics, and data-connected workflows using authorized platforms.
• Connects data to approved workflows and tests, validates, documents, and monitors AI-supported outputs with human review and analytical accountability.
• Partners with the Manager and appropriate enterprise governance functions to support compliant implementation.
• Creates reusable guidance and supports adoption of approved AI-enabled and self-service capabilities by analysts and authorized stakeholders.
• Measures impact through cycle time, analytical capacity, quality, consistency, adoption, and decision support and recommends whether capabilities should be refined or scaled.
Integrated Insights, Communication & Capability Building• Synthesizes secondary analytics, primary market research, forecast assumptions, and other cross-functional inputs into a coherent view of commercial performance.
• Develops leadership-ready presentations that distinguish evidence, interpretation, implications, risks, opportunities, and recommended actions.
• Communicates complex methods, limitations, and findings in accessible business language for commercial and cross-functional audiences.
• Presents analyses and facilitates working sessions that help stakeholders move from information to aligned action.
• Exercises objective analytical judgment, constructively challenges assumptions, and clearly distinguishes verified findings from assumptions or hypotheses.
Physical Requirements- 10% overnight travel maybe necessary depending on location.
- On-Site expectation for average of 3 day per week.
QualificationsRequired QualificationsEducation• Bachelor's degree required in business, analytics, data science, economics, life sciences, public health, healthcare, or a related field.
Experience• Minimum of 2 years of progressive pharmaceutical or biopharmaceutical experience in commercial analytics, secondary analytics, business intelligence, data strategy, or a closely related function.
• Experience independently managing defined analytical workstreams from business-question framing through execution, interpretation, communication, and follow-through.
• Experience partnering directly with commercial stakeholders and translating ambiguous questions into structured analytical plans and actionable recommendations.
• Experience supporting launch-stage and/or in-market brands through KPI development, business reviews, prescriber or account analytics, customer opportunity assessment, or dashboard strategy.
• Hands-on experience using de-identified patient-level claims and pharmaceutical commercial data-such as IQVIA, Komodo, specialty pharmacy, prescriber, account, product, or sales data-to answer business questions.
• Experience translating complex data into decision-relevant findings, implications, and recommendations.
• Hands-on experience developing or prototyping automation, GenAI/LLM, agentic, natural-language analytics, or comparable AI-enabled workflows and evaluating output quality.
• Experience managing multiple priorities, timelines, dependencies, and stakeholder expectations in a fast-paced environment.
• Experience coordinating with matrixed partners, vendors, consultants, or enterprise analytics and technology teams.
Specialized Knowledge• Strong understanding of pharmaceutical commercial analytics, including performance measurement, customer and market analytics, launch tracking, and secondary-data limitations.
• Understanding of Rare Disease analytical challenges, including small and concentrated populations, clinical complexity, data lag, coverage gaps, longitudinal inconsistency, and uncertainty.
• Ability to integrate diverse evidence, distinguish verified findings from assumptions or hypotheses, and communicate methodology, limitations, and uncertainty clearly.
• Understanding of KPI design, dashboard strategy, reporting governance, self-service analytics, documentation, and quality control.
• Working knowledge of data privacy, information security, analytical validation, and responsible AI requirements in governed enterprise environments.
Technical Proficiency• Proficiency with data visualization and business-intelligence tools such as Tableau, Power BI, or comparable platforms.
• Advanced proficiency with Excel and PowerPoint.
• Working proficiency with SQL and at least one data preparation, analytics, or workflow platform such as Python, Alteryx, Dataiku, or comparable tools.
• Experience with pharmaceutical data sources such as IQVIA, Komodo, specialty pharmacy data, claims databases, or comparable sources.
• Experience developing automated reporting, reusable analytics workflows, data integrations, or self-service analytics tools.
• Practical experience with approved generative AI/LLM platforms and development patterns, including prompt and workflow design, data connection, output evaluation, and monitoring.
Analytical, Project Management & Collaboration Skills• Ability to structure unstructured business problems and identify the analyses required to support a decision.
• Ability to identify performance drivers, emerging trends, business risks, and commercial opportunities from complex and incomplete data.
• Ability to connect analytical results to commercial implications, decisions, and recommended actions.
• Skilled at developing concise, structured, and visually clear presentations.
• Strong attention to analytical quality, data integrity, methodological consistency, documentation, and detail.
Strong project-management, collaboration, and influencing skills across commercial and cross-functional teams.
• Ability to operate independently within portfolio priorities, challenge constructively, comply with governance requirements, and escalate material issues appropriately.
• Ability to coordinate external partners and hold them accountable for scope, quality, timing, and delivery.
Preferred Qualifications 
