Data Analyst
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Job Location:
Petaling Jaya - Malaysia
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
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 analyzing user behavior identifying anomalies and developing detection and prevention modules for suspicious activities. If youre enthusiastic about solving complex problems that have a direct real-world impact wed love to have you on board!
Get to Know the Role
Reporting to our Analytics Manager in the Integrity team (Trust Identity & Safety) you will help analyze data to understand user behaviors 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.
The Critical Tasks You Will Perform
- Analyze large-scale user partner and transaction data to identify risk patterns trends and anomalies; recommend targeted mitigation strategies.
- Build and iterate data-driven detection (e.g. rules thresholds signals/heuristics) and support simulations/impact analysis to balance fraud catch with user friction.
- Create maintain and automate dashboards/monitors that track key risk and performance metrics (precision/recall false positive rates incident trends financial impact).
- Conduct statistical analyses and experimentation (e.g. A/B or backtesting) to validate changes quantify trade-offs and guide policy/strategy updates.
- Partner with Product Engineering Data science and strategy teams to scope problems align on success metrics and operationalize solutions.
- Contribute to incident reviews root-cause analyses and prevention playbooks; help institutionalize learnings into processes and tooling.
- Leverage AI/LLM tools responsibly to accelerate analysis documentation and prototyping.
Qualifications :
What Essential Skills You Will Need
- At least 2 years of experience as a hands-on analyst in a high-tech company
- A technical degree in Computer Engineering Information Technology Data Sciences Maths or related fields.
- Strong SQL for large datasets (joins window functions CTEs); experience with at least one analytical language (Python or R).
- Experience building BI dashboards (Tableau Power BI or similar) and communicating insights to non-technical stakeholders.
- Working knowledge of core statistical concepts (hypothesis testing probability distributions regression) and experimentation basics..
- Ability to highlight basic trade-offs and move initiatives forward with guidance from managers and peers.
- Familiarity with GenAI/LLM tools to improve productivity (e.g. query drafting documentation code assistance) with attention to data privacy and security.
- A growing interest in the risk management space and the ability to leverage non-technical knowledge to increase the relevance of your work.
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 lifes challenges.
- Balancing personal commitments and lifes 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
About 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, w ... View more
