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Data Analyst Intern

Job in Jakarta Selatan, Jakarta, Indonesia
Listing for: Flip
Apprenticeship/Internship position
Listed on 2026-06-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Mining
Job Description & How to Apply Below
Location: Jakarta Selatan

We are looking for a Data Analyst Intern to support our existing analytics team in uncovering insights that help drive smarter decisions across product, marketing, and growth. This internship is a great opportunity to work with real-world data, improve your analytical skills, and learn how data informs business strategy.

What You’ll Do
  • Analyze user behavior, product funnels, and business performance to uncover actionable insights
  • Work on ambiguous business problems and structure analyses from scratch
  • Build dashboards, automate reporting, and improve metric visibility for stakeholders
  • Explore large datasets to identify trends, anomalies, growth opportunities, or gaps
  • Present findings through clear storytelling, visualizations, and concise recommendations
  • Partner with product, marketing, and business teams on high-impact initiatives
  • Independently investigate problems and propose data-driven solutions
What We’re Looking For
  • Currently pursuing a degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, or Engineering
  • Strong working knowledge of SQL and comfort working with messy, real-world datasets
  • Evidence of self-driven learning outside coursework — side projects, competitions, open-source contributions, personal dashboards, automation projects, blogs, or independent research
  • Demonstrated problem-solving ability and intellectual curiosity; we care more about how you think than specific tools you know
  • Ability to break down ambiguous problems into structured analytical approaches
  • Familiarity with Excel/Google Sheets and at least one visualization tool (e.g., Tableau, Looker, Power BI)
  • Basic knowledge of experimentation, statistics, or analytical thinking is a plus
  • Strong communication skills and ability to explain insights clearly to non-technical stakeholders
  • Prior internship or hands-on experience in a fast-paced technology environment is preferred
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