Data Analyst, Business Intelligence
Job Description
Job Description:
- Define and establish data-driven frameworks as a dedicated discussion partner for various business units to plan, strategise, and drive business growth 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.
- Analyse, clean, and evaluate large, complex datasets to support 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 Computer Science, Mathematics, Statistics, Engineering, Finance, or other quantitative fields.
- Possess prior professional experience or strong foundational expertise in data analytics, business intelligence, management consulting, or quantitative project management.
- Demonstrate technical proficiency in querying languages, specifically utilising SQL for data extraction and manipulation.
- Demonstrate hands-on experience in building and managing dashboards on BI platforms such as Tableau, PowerBI, or Looker.
- Proficiency in advanced analytics using Python or R will be an advantage.
- Demonstrate the ability to manage, coordinate, and drive projects across multiple cross-functional stakeholders and functions.
- Possess strong analytical and problem-solving skills with the ability to translate data into structured, actionable business strategies.
- Ability to manage and execute multiple deliverables simultaneously in a fast-paced environment.
- Excellent interpersonal and communication skills, with the ability to converse fluently in English and Bahasa Indonesia to align with internal stakeholders.
- Proactive self-starter with a solution-oriented attitude toward complex operational challenges.




