Data Scientist (Analytics)

Data Scientist (Analytics)

• Team Data Analytics
• Location HCMC, Vietnam
• Job Type Full-time

The role at a glance

Get to know the Team:

Grab - the leading super app in Southeast Asia - combines transport, food delivery, logistics, payments, and much more in a single platform. The GEM Analytics team helps the organisation by analysing in each of our countries our past operations and marketing initiatives, deciphering the impact on our business, our brand and our users, to augment the outcome of future initiatives.

Get to know the Role:

The team works closely with various teams in Grab - Business, Operations, Marketing but also Engineering, Product and other Data teams, to understand data requirements, identify and track key metrics, and provide data-driven solutions that are tailored and relevant to always-evolving innovation in our markets.

The Day-to-Day Activities:

• Actively engage with the business to gain a holistic understanding of the marketplace and marketing dynamics in the local country.
• Collaborate with cross-functional teams to align analytics efforts with business goals.
• Conduct in-depth analyses to provide valuable insights based on business needs.
• Develop data-driven solutions such as reports, toolkits, dashboards, models, and analytical frameworks to support decision-making.
• Shape the development of our data infrastructure, including data warehousing, optimization, and maintenance of our analytics platforms.
• Support a broad range of projects related to automation, scalable measurement, and analytics efficiency.
• Provide support and training to stakeholder teams on analytical insights, tools, and methodologies.

Read more Skills you need

The Must-Haves:

• Some experience in analytics, preferably in the e-commerce or internet industry.
• Bachelor’s degree in Statistics, Analytics, Mathematics, Engineering, or other quantitative subjects.
• Advanced knowledge of analytical tools, such as database querying (SQL, Presto, Hive), visualization and reporting tools (Tableau, PowerBI, Holistics), and programming languages (Python, R).
• Strong ability to work with large and complex data sets.
• Familiarity with advanced analytics techniques, including but not limited to predictive modeling, machine learning, and statistical analysis.
• Experience in implementing and optimizing machine learning models for real-world applications.
• Fast-learner, versatile, self-driven, detail-oriented, and collaborative.
• Excellent communication skills to translate analytics specificities for all audiences.

Read more What we offer

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Read more Life at Grab

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.

Read more

What’s it like to work at Grab?

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Data Scientist (Analytics)

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View our location

You’ll find transportation, food delivery, financial services and much more cooking up in our Vietnam offices. Take a tour and find a role you love within our dynamic team.

Meet the Data Analytics team

Our Data Analysts harness the power of analytical thinking and sprinkle data-driven insights across every area of Grab’s business. But we don’t just crunch data all day, we collaborate with teams across the company, and love tackling the tricky problems they bring our way.

Aside from being platform builders, we do tonnes of detective work to uncover key insights from our data. We’ll continue to experiment and improve the experience so that more users can benefit from our services across Grab.

“ ” Cheryl YeoSenior Analytics Manager, Financial Services

Want to leave your mark through data-driven product thinking? I know I do, and that’s what drives me to work all day every day! And, what’s even better is working with some of the most intellectual, driven, kind and authentic people I know who are my Grab friends forever!

“ ” Maanas Sunil PrabhakarAnalytics Manager (GrabFood, GrabMart, Supermarket, Supply Chain)

After months of planning and building, we developed our own central source of truth called Analytics Data Warehouse, where we offer sets of verified data to teams. Because of this, we can improve efficiency tremendously.

“ ” Denise TeoHead of People Analytics

The Application Process

What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like.

Step 1: Apply.

We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate.

Step 2: Getting to know you.

Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences.

Step 3: Testing, testing… 123.

Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details.

Step 4: Is it a culture match?

Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.

Grab a spot in our talent community

Want to be the first to know about Grab opportunities? Keen to stay up-to-date with our latest revelations? Ready to learn more about life at Grab and our amazing teams?

Join our talent community and you’ll never miss a beat.

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