Senior Analytics Manager (Geo and IoT)

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. Get to Know the Role As the Senior Analytics Manager for Geo and IoT, you will work lead a dedicated team of 5-7 data scientists and report directly to the Head of Analytics, Fulfilment and Geo. In this highly cross-functional role, you will collaborate with diverse teams - including Product, Business, Engineering, Design, and Data Science to transform raw data into dynamic, actionable solutions. Your insights will directly shape groundbreaking products and programs, setting new benchmarks for excellence across our platform.   The Critical Tasks You Will Perform Build and Nurture a High-Performing Team: Recruit, mentor, and develop a diverse team of data scientists. Foster a culture of curiosity and innovation where ideas flourish and continuous learning is the norm. Influence at the Highest Levels: Present your team's findings and strategic recommendations to executive leadership and key stakeholders, making a tangible impact on critical company decisions. Drive Business Transformation: Collaborate with cross-functional leaders to integrate analytics into every facet of our business. You will translate complex data into clear strategies, providing direction and clarity in a rapidly changing market landscape. What Essential Skills You Will Need High Agency & Taste: You operate with a high degree of autonomy and agency, possessing a refined "high taste" for quality data products and analytics frameworks. Entrepreneurial Mindset: You are a builder at heart who thrives in fast-paced environments and can adapt quickly. Extensive Experience: At least 8 years of experience in data-related or quantitative fields, with a background in D2C or B2C contexts (such as Marketplaces, Logistics, or Fulfilment). Leadership Track Record: At least 5 years of managerial experience leading and growing high-performing teams, both horizontally and vertically. Technical Fluency: High proficiency in SQL, Python, R, or other relevant scripting/programming languages. Experimentation Expertise: Deep experience designing and executing experiments to develop and test hypotheses (e.g., A/B testing, time-slice experiments, and advanced experimental methodologies). Data Storytelling: Skills in data visualization and storytelling; you can create compelling narratives that aptly represent your team's insights to non-technical audiences. Strategic Problem Solving: Proven ability to take ownership of open-ended, ambiguous business problems and propose novel, beyond-best-practice solutions. Cultural Catalyst: Demonstrated success in fostering a data-driven culture within an organization and promoting the use of analytics in everyday decision-making processes. 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.