Learning and Development Data Analyst Intern

Bukuwarung; Jakarta Pusat; On-site; IDR 89,280,000 - 178,560,000; Full time

Job summary

Bukuwarung in Indonesia seeks a data-driven Learning & Development Data Analyst who can turn raw numbers into actionable stories that influence how training is designed and delivered. You will build, maintain, and improve dashboards tracking training completion, attendance, scores, onboarding funnel, and post-training performance, while keeping learning data clean.

The ideal candidate is curious, comfortable with automation, and able to explain insights to non-technical peers in a fast-paced

Job 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.