Senior Manager, Insights & Analytics
Listed on 2026-06-08
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IT/Tech
Data Analyst, Data Science Manager, Data Scientist, Business Systems/ Tech Analyst
Senior Manager, Insights & Analytics The Opportunity
The Senior Manager, Insights & Analytics — Kerendia is an embedded analytics and market research partner within a high-performing, innovation-driven I&A team. This role is responsible for generating and activating insights across secondary data analytics and primary market research — delivering analyses that are clear, timely, and directly connected to Kerendia's Key Business Questions (KBQs).
This is a role for someone who thrives on getting into the work: designing and executing analyses independently, synthesizing findings into compelling narratives, and partnering closely with brand stakeholders to turn insights into action. You will be part of a team actively redefining what an AI-enabled Insights & Analytics function looks like at scale — and your contributions will shape both the brand and the function.
Reports to: Senior Director, Insights & Analytics, Kerendia
Location: Whippany, NJ (Hybrid)
- Build strong working relationships with brand leadership and cross-functional partners, anticipating insights needs and delivering counsel that informs commercial decisions;
- Translate key business questions into clear analytical frameworks and actionable recommendations;
- Proactively surface opportunities and risks through data mining and market research, connecting findings to brand strategy;
- Challenge assumptions and ensure decisions are grounded in the best available evidence;
- Flex priorities fluidly as the business evolves, bringing urgency and intellectual curiosity to every engagement;
- Independently design and execute analyses across secondary data sources — including patient-level claims, longitudinal data, and sales/demand data — to deliver a comprehensive view of brand and market performance;
- Conduct patient journey analyses including treatment patterns, adherence, persistence, and days on therapy;
- Support competitive landscape assessments, market sizing, opportunity analyses, situation analyses, and trend identification;
- Develop and maintain KPIs and performance metrics that track brand strategy, tactics, and market dynamics;
- Build and refine analytical workflows, leveraging AI and automation to improve efficiency, standardize reporting, and operationalize scalable outputs in partnership with the Data team;
- Design and manage primary market research studies — qualitative and quantitative — to address brand KBQs;
- Manage research vendors and agency partners, providing clear direction, maintaining quality standards, and ensuring deliverables are on time and on brief;
- Synthesize primary research findings with secondary data to generate integrated, multi-source insights;
- Translate research outputs into clear, decision-ready recommendations for brand and commercial leadership;
- Develop AI synthetic panels to extend and scale primary market research learning, generating faster directional reads and broader scenario testing while complementing traditional research approaches;
- Actively integrate AI tools and emerging analytical technologies into day-to-day workflows to generate insights faster and more efficiently;
- Contribute to the team's broader ambition to lead in building an AI-enabled I&A function — experimenting, learning, and sharing what works;
- Bring a forward-looking mindset to how AI can enhance the quality, speed, and scale of insights generation;
- Collaborate with the Data team on data acquisition priorities and stewardship practices;
- Own business rules for brand-centric analyses, ensuring consistency and integrity across all deliverables;
- Provide business requirements and inputs to support the broader data strategy;
Required Qualifications
- Minimum of a Bachelor’s Degree;
- Significant and relevant experience in U.S. pharmaceutical or healthcare analytics;
- Hands-on proficiency with pharma secondary data sources (e.g., IQVIA, Symphony, Optum) and pharmaceutical data types (patient-level claims and longitudinal data, sales, demand,…
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