Job ID: MJ000358

About the Role

We're looking for a Business Intelligence Analyst to help standardize how Traveloka measures and understands its business, starting with THE Finance and Corporate Technology teams, and extending into cross-functional Business Units (BUs). As an individual contributor, you will partner closely with Finance and other business stakeholders to define metrics, build reliable dashboards, and turn complex financial and operational data into insights that shape real business decisions. This role sits within the Data & Experimentation Platform and works closely with the Business Process and Analytics (BPA), Data Analytics across BU, and Data Warehouse Engineering teams.

What You'll Do

• Partner with Finance and other departments to standardize metric definitions, identify authoritative data sources, and build the data pipelines that feed them.
• Own and maintain the Operating Metrics and Profitability dashboard, ensuring data stays accurate and consistent over time.
• Work proactively with stakeholders across the Business Process and Analytics team to anticipate changing business needs and adapt dashboards ahead of time, not after the fact.
• Build end-to-end data solutions, from raw data to finished report, that reduce time other teams spend on manual data prep and reconciliation.
• Translate financial and operational trends into clear insights and recommendations for stakeholders, including senior leadership.
• Simplify complex metrics and ratios into a form that non-technical stakeholders can act on.
• Identify opportunities to automate recurring reports and analysis, reducing manual effort and human error.

What You'll Bring

• Bachelor's or Master's degree in Statistics, Mathematics, Physics, Computer Science/Informatics, Engineering, Economics, or a related field.
• 4–6 years of experience in business intelligence or a similar analytics role, ideally in a fast-paced, cross-functional environment.
• Strong hands-on experience with Tableau Cloud for building and managing dashboards and data sources; Familiarity with other BI tools such as Looker/Data Studio, Preset, or Power BI.
• Strong SQL skills, plus working proficiency in Python or R.
• Strong analytical and problem-solving skills, with attention to detail when working with large, messy datasets.
• Excellent verbal and written communication skills, able to explain technical findings to non-technical stakeholders.
• Comfortable adapting quickly as business priorities shift. Self-motivated and able to work with a degree of ambiguity.

Good to Have

• Exposure to or hands-on experience with GenAI tools applied to analytics or reporting workflows.
• Familiarity with cloud data warehouses (e.g., BigQuery, Databricks) and modern data stack (Semantic Layer).