Data Analytics Intern: Build Dashboards & Insights

Shopee; Philippines; On-site; PHP 201,000 - 268,000; Full time

Job summary

Shopee Philippines is offering a full-time data analytics internship to work with large datasets, build dashboards, and provide actionable insights to support strategic decisions.

You will translate business and technical requirements into reports, assist in data infrastructure, and collaborate with cross-functional teams across markets to test new processes and systems. Ideal candidates are pursuing a quantitative degree and proficient in SQL and Python.

Qualifications

• Currently pursuing a bachelor's degree in a quantitative field (e.g., Business Analytics, Statistics, Engineering, Mathematics, or Computer Science).
• Proficiency in SQL and Python is a must, with experience in data analysis.
• Experience with big data tools (Hadoop, Hive SQL, Spark) and data visualization tools (Tableau, Looker) preferred.

Responsibilities

• Work with large datasets to build dashboards and visualisations for strategic planning and decisions.
• Translate functional and technical requirements into actionable reports for stakeholders.
• Assist in building and maintaining data infrastructure (pipelines, reports, dashboards) to measure key metrics and outcomes.
• Collaborate with cross-functional teams across markets to test and implement new processes and systems.

Skills

SQL

Python

Data analysis

Education

Bachelor's degree in a quantitative field (e.g., Business Analytics, Statistics, Engineering, Mathematics, CS)

Tools

Hadoop

Hive

Spark

ETL tools

Tableau

Looker

Job description

Shopee Philippines is offering a full-time data analytics internship to work with large datasets, build dashboards, and provide actionable insights to support strategic decisions.

You will translate business and technical requirements into reports, assist in data infrastructure, and collaborate with cross-functional teams across markets to test new processes and systems. Ideal candidates are pursuing a quantitative degree and proficient in SQL and Python.