My Pfizer Experience: Estudiante en Practica

EstudianteenPractica-DataAnalytics&AIInnovation

Bogotá, Colombia FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Estudiante en Practica - Data Analytics & AI Innovation at My Pfizer Experience: Estudiante en Practica. Skills: Data Analytics, AI Innovation, Business Intelligence, Power BI, Python, SQL. Support analytics, business intelligence, and AI-enabled initiatives. Improving data quality and analytical reliability”

What You'll Achieve.

Enable better, data-driven decisions across the organization; Improve patient outcomes; Inform commercial and strategic decisions

Industry & Context.

Problems you'll solve

Analytical foundation; Healthcare-relevant problem-solving; Translating complex data into clear, actionable insights

What They're Looking For.

Must Have

Strong technical and analytical foundation, Data Analytics foundation, Power BI, Python, SQL

Nice to Have

Machine learning or data science projects experience, Understanding of core ML concepts, Interest in how AI and LLMs are used to solve real-world healthcare or business problems, Basic DAX

What You'll Do.

business intelligence

and AI-enabled initiatives

Improving data quality and analytical reliability

Translating complex data into clear

Supporting early AI and advanced analytics use cases

Support the development

and improvement of Power BI dashboards

Analyze datasets to identify data quality issues

and improvement opportunities

Translate business questions into structured analyses and visual insights

Prepare data for analysis through cleaning

Support analytics- and AI-driven initiatives

Gain exposure to applied ML concepts

How You'll Work.

Team & Collaboration

Collaborate with team members and stakeholders from different functions (commercial, data, digital); Participate in workshops, working sessions, and reviews

Communication Scope

Clear, structured communicator; Comfortable explaining analyses; Asking good questions; Clear communication of results

Process & Methodology

Manage tasks with guidance but without constant supervision

Full Job Description

# **Commercial Excellence & Innovation (CEI)** **Location:** Bogotá (Hybrid / On‑site) **Duration:** Internship (Full‑time preferred), 1 year. ## **Why Patients Need You** A career with us is about discovering innovations that change patients’ lives. No matter your role, you will be part of bringing therapies to people around the world by enabling **better, data‑driven decisions** across the organization. At Pfizer, data and analytics are critical tools to understand healthcare challenges, optimize decision‑making, and ultimately improve patient outcomes. ## **What You Will Achieve** As a **Data Analytics & AI Innovation Intern** within the **Commercial Excellence & Innovation (CEI)** team, you will support analytics, business intelligence, and AI‑enabled initiatives that directly inform commercial and strategic decisions. You will work with **real healthcare and commercial data** , active Power BI dashboards, and cross‑functional stakeholders, contributing to: * Improving data quality and analytical reliability * Translating complex data into clear, actionable insights * Supporting early AI and advanced analytics use cases in a regulated, enterprise environment This role provides hands‑on exposure to how **data, analytics, and AI are applied in real healthcare business contexts** , beyond purely academic use cases. ## **What You Will Work On** ### **Data Analytics & Visualization** * Support the development, maintenance, and improvement of **Power BI dashboards** used for commercial decision‑making * Analyze datasets to identify **data quality issues, inconsistencies, and improvement opportunities** * Translate business questions into **structured analyses and visual insights** , with guidance from CEI ### **Data Preparation & Programming** * Prepare data for analysis through **cleaning, transformation, and classification** * Use **Python, SQL, or similar tools** to support: Data preparation and explorationAnalytical prototypingProcess optimization where applicable

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