BI Analyst: Transform Data into Actionable Insights

Traveloka

Singapore

On-site

SGD 70,000 - 110,000

Full time

3 days ago
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Job summary

Traveloka is seeking a Business Intelligence Analyst to standardize how the company measures and understands its business, starting with Finance and Corporate Technology teams. You will partner with finance and stakeholders to define metrics, build dashboards, and turn complex data into actionable insights that drive business decisions.

This role sits within the Data & Experimentation Platform and collaborates with BPA, Data Analytics across BU, and Data Warehouse Engineering teams to deliver

Qualifications

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Physics, Computer Science/Informatics, Engineering, Economics, or a related field.
  • 4–6 years in business intelligence or a similar analytics role in a fast-paced environment.
  • Strong hands-on experience with Tableau Cloud for dashboards and data sources; Familiarity with Looker/Data Studio, Preset, or Power BI.
  • Strong SQL skills plus Python or R.

Responsibilities

  • Partner with Finance and other departments to standardize metric definitions and build data pipelines.
  • Own and maintain the Operating Metrics and Profitability dashboard.
  • Develop end-to-end data solutions from raw data to finished reports.
  • Translate financial and operational trends into insights for stakeholders.
  • Simplify metrics for non-technical stakeholders and automate recurring reports.

Skills

Tableau Cloud
SQL
Python or R
BI Tools (Looker/Data Studio/Preset/PS
Power BI
Analytical thinking
Communication skills

Education

Bachelor’s or Master’s in Statistics/ Maths/ Physics/ CS/ Engineering/ Economics

Tools

Tableau Cloud
Looker
Data Studio
Preset
Power BI

Job description

Traveloka is seeking a Business Intelligence Analyst to standardize how the company measures and understands its business, starting with Finance and Corporate Technology teams. You will partner with finance and stakeholders to define metrics, build dashboards, and turn complex data into actionable insights that drive business decisions.

This role sits within the Data & Experimentation Platform and collaborates with BPA, Data Analytics across BU, and Data Warehouse Engineering teams to deliver

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