Data Analyst, Business Intelligence

Responsibilities

• Define and establish data-driven frameworks as a dedicated discussion partner for various business units to plan, strategize, and grow Shopee's business within the project period.
• Shape complex datasets into clear, actionable insights, acting as an internal consultant who simplifies analytical terminologies for diverse cross-functional stakeholders.
• Analyze, clean, and evaluate large, complex datasets to drive data-driven decision-making across key corporate initiatives.
• Design, implement, and deploy automated dashboards to continuously monitor and report on key performance metrics throughout the project lifecycle.
• Conduct precise ad-hoc analyses and evaluate critical metrics to support strategic decision-making and deliver impactful outcomes for special projects.

Requirements

• Hold a minimum Bachelor's or Master's degree in Engineering, Business Management, Finance, Marketing, or other quantitative-based majors.
• Has prior experience or strong foundational knowledge in project management, strategy, business development, management consulting, or business intelligence.
• Proven technical proficiency in querying languages, specifically utilizing SQL for data extraction and manipulation.
• Strong familiarity with building and managing dashboards on BI platforms such as Tableau, PowerBI, or Looker.
• Advanced analytics capabilities using Python or R is highly advantageous.
• Demonstrates the ability to manage, coordinate, and drive projects across multiple cross-functional stakeholders and functions.
• Strong analytical skills with the ability to translate data or insights into structured, actionable business strategies.
• Comfortable managing and executing multiple deliverables simultaneously in a fast-paced environment.
• Exceptional interpersonal and communication skills, with the ability to converse fluently in English and Bahasa Indonesia to align with internal stakeholders.
• Self-starter mindset characterized by a proactive, can-do attitude toward complex operational challenges.