Data Intelligence Specialist

• Company Description
• About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

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.

• 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.

Qualifications

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.
• Additional Information
• 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.