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Bukuwarung

Learning and Development Data Analyst Intern

Bukuwarung Special capital Region of Jakarta, Java, Indonesia

Technology, Information and Internet · 201-500 employees

6 h ago
data-analyst Junior (0-2 yrs) Internship Indonesia
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About the role

The intern will build and maintain L&D dashboards to track training metrics and ensure data integrity across programs. They will also analyze performance data to identify patterns and provide actionable recommendations to the L&D team.

What they look for

Data Analysis Learning and Development Dashboarding Data Visualization Python SQL Google Apps Script Excel Sheets Automation Process Improvement Reporting Performance Metrics Data Cleaning Administrative Support

Requirements

Candidates should have a strong interest in data analysis and learning development, with experience or interest in AI tools, Python, or SQL. Applicants should be students or recent graduates in fields like Statistics, Data Science, Business, or Psychology.

Full description

About Job

This role is for someone who gets genuinely curious when they see raw numbers and wants to turn them into a story that changes how training is designed. You won't just be pulling reports — you'll be helping us figure out where training is actually working and where it isn't.

Skills & Qualification

  • Genuine interest in both data analysis and learning/people development.
  • Able to turn data into insight, not just build charts — can explain the "so what."
  • Hands-on experience or strong interest in AI tools for data work; bonus for Google Apps Script, Excel/Sheets automation, Python, or SQL.
  • Comfortable with fast-paced startup pace and shifting priorities.
  • Technology-driven — proactively automates or improves processes.
  • Studying or recently graduated in a relevant field (Statistics, Data Science, Business, Psychology, Industrial Engineering, or similar); open to other backgrounds with a strong data portfolio.

Responsibilities

  • Build, maintain, and improve L&D dashboards tracking key metrics such as training completion, attendance, assessment scores, onboarding funnel, participation, and post-training performance.
  • Maintain accurate, clean, and consistently structured learning data across different L&D programs and sources.
  • Handle L&D administrative processes (attendance tracking, scheduling, training records) and keep learning data clean and consistently structured.
  • Analyze learning and performance data to surface patterns (e.g., where onboarding fails, what drives post-training performance) and turn findings into clear, actionable report and recommendations for the L&D team.

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