Senior Data Analyst, Inetgrity

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 Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges, from ensuring safety to preventing fraud. We are involved in the entire data lifecycle, including analysing user behaviour and product funnels, identifying anomalies, and developing detection and prevention modules for suspicious activities. If you're enthusiastic about solving complex problems that have a direct, real-world impact, we'd love to have you on board!

Get to Know the Role

Reporting to the Senior Analytics Manager in the Integrity team (Trust, Identity & Safety), you will help analyse data to understand user behaviours, product funnels and identify potential risks on our platform. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.

This role is onsite based in Bangalore.

The Critical Tasks You Will Perform

• Be a subject matter expert in using data to analyse business/product performance across different markets and business lines.
• Lead the identification of business/product issues and opportunities, uncovering insights and pinpointing growth areas, developing data-driven rules and strategies to address potential risks.
• Collaborate with product and engineering teams to design and analyze experiments that guide key product decisions.
• Conduct statistical analyses to ensure detection systems align with industry standards, refining policies, strategies, and controls.
• Lead expert teams in rolling out products/services and expanding the data universe for richer insights and enhanced decision-making.
• Develop dashboards for all stakeholders to provide visibility of important metrics, patterns and detection efficiency
• Collaborate across teams to address risks associated with Grab's products, processes, and payment methods, serving as a strategic partner in risk management decisions.
  
  

Qualifications

The Essential Skills You Will Need

• 3+ years of experience in data-related or quantitative fields, within the e-commerce or internet industries.
• A bachelor's degree in disciplines such as Analytics, Statistics, Software, Mathematics, Economics, Computer Science, or Engineering.
• Proficiency in SQL, Presto, ETL, Power BI, Tableau, Python, and Excel (can perform complex functions) .
• Experience with the application of experimentation and statistical techniques (such as hypothesis testing, probability distributions, regression, decision trees).
• Knowledge of data models, data mining, and segmentation techniques, coupled to learn independently and manage effectively in a vibrant environment.
• Understanding of the risk management space in digital ecosystems.
• Proficiency in Gen AI/LLM's.
  
  

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.
  
  

What We Stand For At Grab

We 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.