Data Analytics & Full-Stack Intern: Automate & Visualize

Pfizer Philippines; Philippines; On-site; PHP 167,000 - 335,000; Part time

Benefits offered by this job

Medical benefits

Job summary

Pfizer Philippines is seeking a motivated student for hands-on experience in data analytics and full stack development to support web projects and automation. You will learn by doing: feature development, data cleansing, visualizations, automation, and data extraction for dashboards, in a collaborative, mentor-led environment.

This role is ideal for computing students in their later years who want practical skills in JavaScript, Python, TypeScript, and related tools.

Qualifications

• Currently enrolled in a bachelor’s degree in computer science or a related technical field, in the last or penultimate year of study.
• Experience with Data Structures or Algorithms from university/college, internship, hobby coding, or other practical experience.
• Coding experience in JavaScript, Python, TypeScript, or R Shiny.
• Preferred: internship or work experience with JavaScript, Python, or TypeScript.
• Preferred: experience with web app development, Unix/Linux, analytics, visualization, distributed and parallel systems, information retrieval, and/or software development.
• Interest in learning other coding languages as needed.

Responsibilities

• Provide support and develop features in a web project.
• Apply data cleansing and implement visualizations using various tools for customers.
• Implement automation of certain processes/tasks.
• Extract scheduled data for visualization purposes.

Skills

Data Structures

Algorithms

JavaScript

Python

TypeScript

R

Education

Bachelor's degree in computer science or related field

Tools

Unix/Linux

Hasura

GraphQL

Power BI

Spotfire

R Shiny

Job description

Pfizer Philippines is seeking a motivated student for hands-on experience in data analytics and full stack development to support web projects and automation. You will learn by doing: feature development, data cleansing, visualizations, automation, and data extraction for dashboards, in a collaborative, mentor-led environment.

This role is ideal for computing students in their later years who want practical skills in JavaScript, Python, TypeScript, and related tools.