Job Description

Company DescriptionAbout Grab and Our WorkplaceGrab 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.Get to Know the TeamThe ACE (Deliveries, OmniCommerce) Analytics team is the analytics and data powerhouse behind Grab's fastest-growing segments: GrabFood, GrabMart, GrabExpress and OmniCommerce. Here, innovation meets action. We're not just a team; we're trailblazers, committed to solving the most pressing challenges for our consumers, driver-partners, and merchant-partners using data. From improving the consumer order experience to enhancing platform reliability, we aim to make Grab the first choice, every time.Get to Know the RoleYou will lead a team of 2-3 analysts, and will report to the Head of Analytics, ACE. You will collaborate with diverse teams (Product, Business, Engineering, Design, Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and programs, setting new benchmarks for excellence. Additionally, as we build our Analytics team in Malaysia, you will also act as the Site Lead for Analytics and mentor other analysts in Malaysia.This role is based in Petaling Jaya and onsite.The Critical Tasks You Will Perform

• Build and Nurture a High-Performing Team: Recruit and develop a diverse team of product and data analysts. Foster a culture of curiosity and innovation where ideas flourish, and continuous learning is encouraged.
• Influence at the Highest Levels: Present your team's findings to executive leadership and stakeholders, making a tangible impact on important decisions.
• Drive Business Transformation: Collaborate with leaders to integrate analytics into every facet of our business. You'll translate complex data into strategies, providing clarity and direction in a changing market landscape.

QualificationsWhat Essential Skills You Will Need

• You have at least 2 years of managerial experience leading and growing teams, both horizontally and vertically.
• You have at least 6 years in data-related or quantitative fields, with experience within D2C or B2C context such as Marketplaces, ECommerce, OmniCommerce or Retail Marketing Analytics.
• You have fostered a data-driven culture within the organisation, promoting the use of analytics in decision-making processes.
• You can take ownership of open-ended ambiguous business problems and propose novel solutions that go beyond common practice.
• You have experience with experimentation to develop and test hypothesis through A/B tests, time-slice experiments (and more).
• You have skills in data visualization and storytelling, and you can create narratives that aptly represent your team's insights.
• You are fluent in SQL, Python, R, or other scripting/programming languages.

Additional InformationLife at GrabWe 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 GrabWe 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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