GRAB

Data Intelligence Specialist

Jakarta, Indonesia · On-site · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerGRAB
  • LocationJakarta, Indonesia
  • Work styleOn-site
  • Employment typeFull-time
  • Employer posted

Get to Know the Team

The Data Intelligence team is the backbone of Grab's Business Growth Analyst organization, driving data accuracy, actionable insights, and strategic decision-making. We work with Sales Operations, Sales Compensation, and Sales Enablement to empower sales teams across all territories. Our mission is to ensure data-driven strategies that align with Grab's business objectives and fuel sustainable growth.

Get to Know the Role

As a Data Intelligence Specialist, you will analyze data to drive strategic initiatives, optimize sales processes, and boost operational efficiency. Collaborating with cross-functional teams, you will build and deliver dashboards, reports, and actionable insights to inform key business decisions. We seek a detail-oriented analyst who excels at translating complex data into effective strategies. This is a full-time, on-site role reporting to the Manager.

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The Critical Tasks You Will Perform

  • Data Management & Dashboard Creation: Gather and organize data from multiple sources to build dashboards for churn monitoring, sales performance tracking, and market analysis.
  • Insights: Analyze sales trends, market dynamics, and performance metrics to deliver actionable insights that inform Go-To-Market strategies and sales programs.
  • Collaboration: Work with Business Growth Analysts, Sales Leads, and Key Account Managers to provide data-driven solutions and address on-ground challenges.
  • Monitor and Reporting: Monitor sales performance, campaign outcomes, and operational metrics, delivering regular reports to stakeholders for alignment and improvement.

What Essential Skills You Will Need

  • Education & Experience: Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, CS) with 3+ years of experience in data analysis or business intelligence. Experience in tech or sales operations is an added value.
  • Technical Skills: Proficiency in SQL and BI tools (Tableau, Power BI) for building dashboards. Experience with Python or R is advantageous.
  • Analytical Skills: Ability to obtain actionable insights, and opportunities from complex datasets.
  • Collaboration & Communication: Ability to work with cross-functional stakeholders (e.g., Sales, Business Growth) and present strategic recommendations.
  • Attention to Detail: Meticulous approach to ensure high levels of accuracy in all reports and analyses.

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

  • We have your back with Term Life Insurance and comprehensive Medical Insurance.
  • With GrabFlex, create a benefits package that suits your needs and aspirations.
  • Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
  • We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
  • Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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At a glance

  • Work styleOn-site
  • Employment typeFull-time
  • SeniorityEntry level
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python Tableau Power BI Go-to-market

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