Data Analytic Manager - Operations & Fraud

Company Description

“To be the most loved everyday food and groceries destination!” - that’s our mission at foodpanda (small ‘f’).

foodpanda is the largest food and grocery delivery platform in Asia, outside of China. Operating in more than 400 cities across 11 markets, we continue to expand and grow in our core food delivery business, as well as in new verticals like grocery deliveries, with a strong tech infrastructure at our core. From our restaurants-partners, cloud kitchens and cloud grocery stores — foodpanda is just one tap away, getting everything you need into your hands quickly and conveniently!

If you love working with technology to create solutions and are not afraid to roll up your sleeves to get things done, you will find your tribe here at foodpanda. foodpanda comprises of people from more than 60 nationalities, and we believe in winning through diversity.

foodpanda is part of the Delivery Hero Group, the world’s leading local delivery platform operating in 70+ countries worldwide

Job Description

• Utilise data analysis techniques to identify and address fraud-related issues within the organisation

• Analyse large and complex datasets to derive insights and develop strategies for fraud prevention and detection

• Design, build, and maintain comprehensive reports using tools such as Tableau, providing actionable information to support optimal business decision-making

• Conduct tests and experiments to validate hypotheses and measure the effectiveness of proposed fraud prevention and improvement initiatives

• Collaborate with local market teams to discuss potential fraud issues and enhance fraud detection rules, aiming to minimise fraud losses

• Take responsibility for data fetching and SQL querying as required, ensuring accurate and timely retrieval of relevant information

• Propose and drive new product enhancements and process improvements to enhance operational efficiency and fraud handling

• Foster close collaboration with Regional Operations and Risk Management teams, actively sharing knowledge and best practices to maximise cooperation and effectiveness

Qualifications

• Bachelor’s Degree in Science/Technology/Engineering/Mathematics or any other relevant field of studies
• Proven experience in data analysis and interpretation, preferably in the context of fraud prevention or risk management
• Excellent SQL querying skills for efficient data retrieval and manipulation
• Knowledge of Google data studio, Tableau and Python is a plus
• Team player and could fit into the company culture
• Strong problem-solving abilities, with the capacity to analyse complex datasets and derive actionable insights
• Ability to adapt to a fast-paced and dynamic work environment, demonstrating flexibility and a proactive approach to fraud prevention

Additional Information

What We Offer

• Opportunity to take on responsibility from day 1 and have a direct impact on our business & all our customers
• A vibrant and international team with diverse background
• Steep learning curve in e-commerce & entrepreneurship
• Learning & development programs and skills trainings
• Flexible working hours and agile company with a flat hierarchical structure
• Monthly staff allowance, and corporate discounts including at restaurants, gyms and many more
• Free pandapro - Access to special delivery and dine-in offers
• Agile office environment with a fully-stocked beverage fridge and self-serve beer
• Unlimited paid leave policy