Data Analytics and Insights Manager - GrabFinancial

Get to know the Role:

• Design, implement and maintain a world-class data reporting and insights framework across all risk domains.
• Deliver elegant, exec-ready dashboards and insights. Use advanced visualisation techniques to leverage facts into initiatives to support risk objectives and the business.
• Lead a small team of junior and senior risk data analysts.
• Own risk data, ensure necessary databases are maintained for research and regulatory purposes.
• Get things done across multiple analytics stakeholders within the group to ensure accurate data collection, processing, storage and maintenance.
• Support risk operational reporting needs such as case management insights as well as workforce management and planning processes.
• Perform forensics, deep dives, and forecasting, on various risk or business matters.

The must haves:

• Problem-solving, positive and constructive attitude is a must.
• Comfort in dealing with ambiguity and operating in fast-changing, unstructured environment.
• A passion for data and insights. Ability to make sense of large amounts of unstructured data spread across various tech stacks.
• Structured, factual and data-driven. Ability to deep dive into data then elaborate clear and synthetic insights.
• Proficient in RDBMS such as PostgreSQL or MySQL.
• Ninja level in Excel.
• Strong in Tableau or other data visualization tools.
• Experienced with Zendesk or similar case management systems is a plus.
• Meticulous attention to detail and double-checking as a second nature.
• Sound knowledge in e-payments and fintech, and related fraud, desired but not absolutely required.
• Good verbal and written communication in English and ideally one local SEA language.
• Leadership experience or potential, experience managing a small team is a plus.
• Knowledge of credit card scheme rules and banking processes is a plus.

Get to know our Team:

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Get to know the Role:

-Collaborate with product, engineers and partnerships to identify new opportunities to expand Grab’s universe of data by identifying and collecting adjacent data to enrich insights.

-Design market intelligence metrics and performance measurement dashboards.

-Manage end-to-end data projects; identify issues, gather information from various sources, analyse data, interpret patterns and trends with the purpose of generating insights about the market.

-Build strong relationship with management and operational executives; translate data speak to human speak in order to effectively conceptualise analysis and proposing solutions to business stakeholders with the purpose of enhancing operational performance.




The day-to-day activities:

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The must haves:

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