About the RoleWe are looking for a highly motivated Data Analytics & AI Innovation Intern to support the Commercial Excellence & Innovation (CEI) team. This role is idóneo for a student with a strong foundation in data analytics, Power BI, Power Query and programming (Python and/or SQL) who is interested in applying data and AI to real commercial business problems in a regulated, enterprise environment.You will contribute to live dashboards, analytics initiatives, and AI-enabled solutions, working closely with multiple stakeholders across commercial, data, and digital teams. This is a hands‑on role with real deliverables — not a shadowing or observational internship.What You Will Work OnData Analytics & VisualizationSupport the development, maintenance, and improvement of Power BI dashboards and Power Query Processes used for commercial decision‑makingAnalyze datasets to identify data quality issues, inconsistencies, and improvement opportunitiesTranslate business questions into analytical views and dashboards, with guidance from CEIProgramming & Data HandlingUse Python and/or SQL to: Prepare and transform datasetsAutomate recurring analyses where relevantSupport analytical prototypingWork with structured and semi‑structured data in a real enterprise settingAI & Advanced Analytics ExposureContribute to AI- and analytics‑driven initiatives, including: Understanding and supporting ML or predictive analytics projectsAssisting in the design or testing of AI- and agent‑based solutionsGain exposure to LLMs, AI agents, and applied ML concepts, with mentorship and context provided by the teamStakeholder Interaction & EnablementCollaborate with team members and stakeholders from different functionsSupport documentation, analysis summaries,



and clear communication of resultsParticipate in workshops, reviews, or working sessions when relevantWhat We’re Looking For (Strong Baseline Required)Technical Skills (Core)Strong foundation in Data AnalyticsSolid working knowledge of Power BI (modeling, visuals, basic DAX preferred)Experience with Python and/or SQL for data analysis and transformationComfortable working with datasetsAI / ML Background (Preferred)Experience designing, executing, or contributing to machine learning projects (academic or personal projects count)Understanding of basic ML concepts (e.G., features, training, evaluation)Interest in how ML and LLMs are applied in real business contextsInterpersonal & Organizational SkillsClear, structured communicator — able to explain work and ask good questionsComfortable working with multiple stakeholders and changing prioritiesOrganized, accountable, and able to manage tasks with guidance but without constant supervisionWhat Will Help You Succeed in This RoleCuriosity and willingness to learn in a complex environmentComfort navigating ambiguity while maintaining analytical rigorAbility to balance technical depth with practical business needsOpenness to feedback and continuous improvement Work Location Assignment:On PremiseEEO (Equal Employment Opportunity) & Employment EligibilityPfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI‑use guidelines available on Pfizer Careers.Support Services#J-18808-Ljbffr

📌 Data Analytics & Ai Innovation Intern (Cundinamarca)
🏢 Pfizer
📍 Cundinamarca