This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Learning & Development (Global L&D) at Pfizer empowers colleagues worldwide through impactful learning experiences. As part of the Learning Facilitation, Operations & Measurement team, this role supports a group that facilitates, markets, and measures the impact of learning to enable quantifiable business value. We harness data, analytics, and storytelling to understand what works, why it works, and how learning creates measurable business value. Your work as a Senior Associate, Learning Analytics Specialist helps ensure that learning investments translate into meaningful outcomes, driving growth, capability, and performance across the enterprise
Job Responsibility:
Leverage learning analytics to evaluate learning effectiveness, behavior change, and business impact across global L&D programs
Partner with L&D program owners and stakeholders to define metrics, KPIs, and evaluation strategies aligned to business priorities
Develop dashboards, impactful presentations, and data‑driven insights that inform learning strategy and investment decisions
Translate complex data into clear, compelling narratives through data storytelling, visualizations, and executive‑ready presentations
Ensure data integrity, consistency, and reliability across learning systems by applying strong data management and governance practices
Collaborate cross‑functionally to enhance analytics maturity, improve data capture, and evolve enterprise learning measurement frameworks
Support insight‑driven decision‑making by generating actionable recommendations that optimize learning outcomes and learner experience
Requirements:
BA/BS in relevant quantitative fields with 2+ years of experience, or MBA/MS in relevant quantitative fields with any years of relevant experience
Experience applying analytics to assess program effectiveness, performance, or business outcomes
Demonstrated experience with data analysis, dashboards, and analytics tools
Demonstrated experience working with disparate data sets
Proven ability to extract valuable insights from raw data
Proficiency in Microsoft Office applications, particularly Excel and PowerPoint, for data analysis, reporting, and data storytelling
Demonstrated ability to collaborate effectively with stakeholders through influence and consultation
Comfort working in a global, matrixed environment with multiple priorities
Strong interest in data and analytics
Strong English capabilities
Nice to have:
Exposure to analytics tools (Tableau, Power BI, Spotfire, Dataiku, etc.)
Experience in learning analytics, evaluation, or workforce development
Familiarity with learning systems, data modelling, and analytics platforms
Experience using common AI tools, including generative technologies such as Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices
What we offer:
Work life harmony
Disability inclusion
Equal employment opportunities
Reasonable adjustments to support application and future career