Senior Manager, Insights & Analytics

Bayer•Hanover Township, NJ

1d•$124,960 - $187,440•Hybrid

About The Position

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.

Requirements

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, distribution)
Experience designing and managing primary market research studies (qualitative and quantitative)
Strong analytical and quantitative skills with the ability to independently execute data mining and translate findings into clear, actionable insights
Excellent verbal and written communication skills — able to craft concise PowerPoint narratives, structured syntheses, and management-ready recommendations
Self-starter with the ability to manage multiple workstreams independently and adapt quickly to shifting priorities
Comfortable setting direction with vendor and agency partners, managing timelines, and maintaining quality standards
Strong Excel proficiency
Demonstrated intellectual curiosity and critical thinking, with the ability to ask insightful questions and challenge assumptions
Practical experience using AI tools in an analytical or research context

Nice To Haves

Advanced degree preferred
6+ years of relevant experience in U.S. pharmaceutical or healthcare analytics
Experience in cardiovascular and/or renal therapeutic areas
Programming/coding proficiency strongly preferred (e.g., SAS, SQL, Python, R)
Experience with statistical tools or data science methods
Experience supporting brand planning processes, including situation analyses, KPI development, and forecasting inputs

Responsibilities

Be a Trusted, Consultative Insights Partner
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
Execute Integrated Secondary Analytics
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
Lead Primary Market Research End-to-End
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
Adopt and Advance AI-Enabled Ways of Working
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
Support Data Strategy and Stewardship
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