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Budgeting & Planning - Strategic Driver Planning (ShopeeFood)

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Onsite

Budgeting & Planning - Strategic Driver Planning (ShopeeFood)

Shopee

Budgeting & Planning - Strategic Driver Planning (ShopeeFood)

Skills

SQL QueriesPythonRBudgeting

2 months ago

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Important information


Contract type:

Permanent

Location:

Jakarta, Indonesia

Work mode:

Onsite

Published on:

12 August 2026

What they need


  • Own and drive the overall driver planning of the ShopeeFood platform, with a strong focus on:

  • Designing and managing driver pricing strategies, including payouts and bonuses, to align with business goals and change in market conditions.

  • Leading initiatives to improve driver-related algorithms and products.

  • Managing profit and loss by optimizing costs with the objective of improving business SOPs (both for drivers & stakeholders).

  • Improving platform reliability by balancing supply and demand to optimize business profitability and leading initiatives to reduce order cancellations.

  • Investigate issues in depth, identify their root causes, and translate findings into clear and actionable improvement plans.

  • Create short and long-term projection based on historical data, market trends, and business assumptions.

  • Regularly monitor and analyze performance, run experiments to validate new ideas, and convert data insights into concrete strategies that drive measurable results.

  • Build reports to keep management well-informed on key trends, ongoing initiatives, and recommended next steps.

  • Collaborate actively with cross-functional teams — both locally and across markets — to develop, align, and execute strategies.

Requirements

  • Minimum 3 years of experience in business intelligence, strategic planning, or a related field (position is also available for more experienced level).
  • Previous experience in ride-hailing or food delivery industries is a strong advantage.
  • Bachelor’s degree in a relevant field (e.g., Engineering, Math, Statistics, or Business) from a top-tier university.
  • Strong problem-solving skills, structured thinking, analytical skills, and enjoy working with numbers.
  • Curious to deep-dive anomaly or suspicious data and able to generate insights/findings from data to make data-driven decisions.
  • SQL and spreadsheet proficiency is a must; R/Python programming language is a plus.
  • Strong stakeholder management & communication skills (Fluent in ID and EN, both written and verbal).
  • Agile, comfortable working in fast-paced environments and managing multiple projects.
  • Highly self-motivated, organized, and capable of working independently with minimal supervision.

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