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Salary
$41k – $102k per year (Estimated)
Location
In office (Jakarta)
Seniority
Junior · 1+ year exp
Employment
Contractor
Overview
Company
Impact
Profile match
GoTo (PT GoTo Gojek Tokopedia Tbk) is Indonesia's largest digital ecosystem, formed in 2021 through the historic merger of ride-hailing pioneer Gojek and e-commerce giant Tokopedia. Headquartered in Jakarta and listed on the Indonesia Stock Exchange (IDX: GOTO), GoTo integrates three primary digital business pillars across Southeast Asia.

About the Role

As a Data Analyst within the GoTo Financial Lending Operations team, you will get hands-on experience in a fast-paced consumer lending environment. You will sit at the intersection of data and daily operations, helping our business run smoothly by ensuring teams have the information they need. This is a fantastic opportunity to dive into the world of Business Intelligence, learn how data drives operational decisions, and develop your technical skills in a supportive, real-world setting.

What You Will Do

  • Support Operational Requests: Manage and prioritize incoming data-related queries from the broader operations team.

  • Maintain Data Accuracy: Perform routine data refreshes to ensure business continuity and accuracy.

  • Monitor Dashboards: Maintain and update existing operational dashboards so the team always has a clear view of performance.

  • Extract Insights: Execute ad-hoc data pulls to answer specific, time-sensitive business questions.

  • Develop Reporting: Assist in designing and building new operational reports as you grow and learn in the role.

What You Will Need

  • 1-2 years of experience in Data Analysis, Business Analysis, Growth Analytics, or a related role; Fresh graduates with strong project portfolios or relevant internship experience are welcome to apply.
  • Possess a foundational understanding of Microsoft Excel (e.g., comfortable with basic formulas, filtering, and data entry).

  • Demonstrate a strong, genuine eagerness to learn about data analytics and business intelligence.

  • Comfortable asking questions and communicating with operational stakeholders to understand their data needs.

  • Highly detail-oriented with a proactive, curious mindset.

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