About the Role

We are looking for a highly motivated Data Analytics & AI Innovation Intern to support the Commercial Excellence & Innovation (CEI) team. This role is ideal 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 On

Data Analytics & Visualization

Support the development, maintenance, and improvement of Power BI dashboards and Power Query Processes used for commercial decision-making
Analyze datasets to identify data quality issues, inconsistencies, and improvement opportunities
Translate business questions into analytical views and dashboards, with guidance from CEI

Programming & Data Handling

Use Python and/or SQL to: Prepare and transform datasetsAutomate recurring analyses where relevantSupport analytical prototyping
Work with structured and semi-structured data in a real enterprise setting

AI & Advanced Analytics Exposure

Contribute 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 solutions
Gain exposure to LLMs, AI agents, and applied ML concepts, with mentorship and context provided by the team

Stakeholder Interaction & Enablement

Collaborate with team members and stakeholders from different functions
Support documentation, analysis summaries, and clear communication of results
Participate in workshops, reviews, or working sessions when relevant

What We’re Looking For (Strong Baseline Required)

Technical Skills (Core)

Strong foundation in Data Analytics
Solid working knowledge of Power BI (modeling, visuals, basic DAX preferred)
Experience with Python and/or SQL for data analysis and transformation
Comfortable working with datasets

AI / 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 contexts

Interpersonal & Organizational Skills

Clear, structured communicator — able to explain work and ask good questions
Comfortable working with multiple stakeholders and changing priorities
Organized, accountable, and able to manage tasks with guidance but without constant supervision

What Will Help You Succeed in This Role

Curiosity and willingness to learn in a complex environment
Comfort navigating ambiguity while maintaining analytical rigor
Ability to balance technical depth with practical business needs
Openness to feedback and continuous improvement

Work Location Assignment: On Premise

EEO (Equal Employment Opportunity) & Employment Eligibility

Pfizer 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

331 Pfizer S.A. (Columbia)

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Data Analytics & AI Innovation Intern