Data Analytics & AI Innovation Intern

Pfizer Inc; Colombia; On-site; COP 11,160,000 - 22,320,000; Full time

Job summary

Pfizer in Colombia is seeking a motivated Data Analytics & AI Innovation Intern to support the CEI team. You will build and maintain Power BI dashboards, transform datasets in Python/SQL, and contribute to AI and ML initiatives in a regulated enterprise setting.

Ideal candidates are pursuing a degree in data science or analytics, with a strong grounding in data analytics, Power BI, and data handling, eager to learn and collaborate with cross-functional teams in a dynamic environment.

Qualifications

• Currently enrolled in a relevant undergraduate or graduate program.
• Strong foundation in data analytics and dashboards.
• Experience with Python/SQL is a plus.

Responsibilities

• 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.
• Utilize Python and/or SQL to prepare and transform datasets and automate recurring analyses.

Skills

Power BI

Python

SQL

Data analysis

Data visualization

Education

Pursuing degree in Data Science / Analytics

Tools

Power Query

Excel

Job description

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.

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.