Data Insights & Visualization Intern

Shopee

Philippines

On-site

PHP 78,000 - 123,000

Full time

3 days ago
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Job summary

Shopee in the Philippines is seeking a data analytics intern to work with large datasets, building dashboards that inform strategic planning and business decisions. You will translate functional and technical requirements into reports that deliver actionable insights to key stakeholders.

You will assist the team to build and maintain data infrastructure, including data pipelines and aggregated datasets, and collaborate with product teams across markets to test and implement new processes and

Qualifications

  • Pursuing bachelor’s degree in a quantitative field.
  • Proficiency in SQL and Python.
  • Experience with big data tools (Hadoop, Hive SQL, Spark), ETL tools, data visualization (Tableau/Looker) and statistics.
  • Ability to thrive in a dynamic, collaborative environment.
  • Full-time interns preferred (3-6 months).

Responsibilities

  • Work with large datasets to build dashboards informing strategic decisions.
  • Understand requirements to build reports delivering actionable insights to stakeholders.
  • Assist in building and maintaining data infrastructure (pipelines, datasets, reports).
  • Collaborate with cross-functional teams across markets to implement new processes and systems.

Skills

SQL
Python
Teamwork
Analytical mindset

Education

Bachelor's degree in a quantitative field (pursuing)

Tools

Hadoop
Hive SQL
Spark
ETL tools
Tableau
Looker
Statistics (hypothesis testing, regression)
Data modelling

Job description

Shopee in the Philippines is seeking a data analytics intern to work with large datasets, building dashboards that inform strategic planning and business decisions. You will translate functional and technical requirements into reports that deliver actionable insights to key stakeholders.

You will assist the team to build and maintain data infrastructure, including data pipelines and aggregated datasets, and collaborate with product teams across markets to test and implement new processes and

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