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. Guided by The Grab Way and our four core values of Heart, Hunger, Honour, and Humility, we make a lasting difference for Southeast Asia by creating economic empowerment for everyone.Get to know the team:The Country & Marketing 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 job:You will play a pivotal role in driving data-driven decision-making and enhancing our Digibank offerings. You will collaborate with cross-functional teams to analyze complex datasets, derive actionable insights, and support strategic initiatives. Your expertise will help us understand customer behavior, optimize our products, and improve overall user experience. You will be responsible for developing machine learning models, creating dashboards, and presenting findings to stakeholders, ensuring that our data strategies align with business objectives in Digibank.The Day-to-Day Activities:Collaborate with digibank teams to understand their data needs and objectives.Utilise machine learning models and analytics methodologies to analyse large datasets and generate actionable insights.Provide data-driven recommendations to support strategic decision-making for digibanks.Monitor and evaluate the performance of machine learning models, ensuring they meet the evolving needs of the business.Create and maintain dashboards and reports to visualise key metrics and insights.Presenting findings and recommendations to both technical and non-technical audiences, ensuring clarity and actionable outcomesConduct exploratory data analysis to identify trends, patterns, and opportunities for improvement.Work closely with cross-functional teams to integrate data insights into product development and marketing strategies.Stay updated on industry trends and best practices in data analytics and machine learning.QualificationsThe Must-Haves:4-6 years of analytical experience conjugated with business acumen, preferably within the financial services 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), visualisation and reporting tools (Tableau, PowerBI, Holistics) and programming languages (Python, R)Strong ability to work with large and complex data setsFast-learner, versatile, self-driven, detail-oriented and collaborativeExcellent problem-solving skills and the ability to communicate complex data insights to non-technical stakeholders.Strong attention to detail and a passion for data-driven decision-makingFull professional working proficiency in English is requiredThe Nice-Haves:

• Experience with machine learning techniques and algorithms, with a track record of applying them to real-world problems.

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 leaveWe have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life\'s challenges.What we stand for at GrabWe are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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