Fraud Data Analyst

Job title: Fraud Data Analyst

Company: Delivery Hero


Job description: 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 worldwideJob DescriptionThe pandas have embarked on an inspiring journey to serve “Meal for Every Table.” This adventure began in the bustling hub of our Delivery Heroes, Vendor Partners, Suppliers, Pandamarts, and Passionate Homechefs, all united by the dream of delivering joy through delicious food & more. Together, our pandas face challenges, bring innovations, and with unwavering determination and heart, they strive to deliver Meal for Every Table.
Join us on our journey as we aim to connect with 25% of Pakistan’s population, delivering more than just meals, uplifting lives, and driving positive transformation throughout the nation. Come onboard as a “Fraud Data Analyst ” and play your part in the “Operations Domain.”
On this journey, you will report to “Senior Manager, Fraud, Risk & Payments”We’re looking for a highly-driven and tech-oriented “Fraud Data Analyst – II” for our team in Pakistan. If you are looking for a place where you can gain business and technical exposure plus have a direct impact, then this may be the place for you!The ideal candidate will have a track record as a structured individual contributor – comfortable working independently, whilst working closely with the management team. This role will be based in Pakistan and will report to the “Senior Manager Fraud, Risk & Payments”.Your Responsibilities will include:● As one of the brains behind our customers’ operations, you will be responsible for the performance analysis, optimization and process design of fraud detection systems and frameworks● You will lead towards designing in best in class service functions to address customer segmentation based on fraudulent refund and cashloss● You’ll be in a highly data-driven role working investigating patterns, conducting risk analysis, and proposing solutions to create new logics or modify existing ones with a key focus on user experience● You’ll be adept at managing stakeholders, be it the city or functional managers or vendors to influence business goals with the ultimate purpose to reduce fraud● You’ll be required to be deeply involved with our Shared Service Centre in Malaysia to collaborate, understand and implement our regional and global best practices● Every day you would be consistently contributing to the current ecosystem by improving processes, raising the bar with high quality work and establish automated controls for growth and innovationRequirements:● Bachelor’s degree program in STEM from a reputable institution, Masters is a plus● Several years of experience in analytical roles involving risk or cost optimization related strategy. Analytical mindset is a must. Exact role can vary depending on experience.● Expertise in SQL and Python knowledge is a must,Git / DBT is a plus● You are comfortable using business intelligence tools (e.g. Tableau, Google Data Studio)● You are proficient in segmentation, outlier detection and correlation via Excel, g-sheet or other tools● Highly organized and self-disciplined, able to work on multiple projects in a self-structured and well-prioritized way● Data-driven & with a keen eye on process improvement● Effective communication and interpersonal skills with a problem-solving attitude is the cornerstone of your personality● You must be adept at G-SuiteA little About Us:● We are fast, like mind boggling fast! So if you’re someone who loves ever changing goals and loves optimization, you’re the right fit for us!● We love people who can develop things from scratch, own them and then work on improving them.● We love what we do, and we don’t rest until we’ve achieved our targets. So if you’re also someone who is driven until the dream is achieved, come join us!QualificationsYour role in this journey requires the following:

• Bachelor’s degree program in STEM from a reputable institution, Masters is a plus.
• Several years of experience in analytical roles involving risk or cost optimization related strategy. Analytical mindset is a must. Exact role can vary depending on experience.
• Expertise in SQL and Python knowledge is a must, Git / DBT is a plus
• You are comfortable using business intelligence tools (e.g. Tableau, Google Data Studio).
• You are proficient in segmentation, outlier detection and correlation via Excel, g-sheet or other tools.
• Highly organized and self-disciplined, able to work on multiple projects in a self-structured and well-prioritized way.
• Data-driven & with a keen eye on process improvement.
• Effective communication and interpersonal skills with a problem-solving attitude is the cornerstone of your personality.
• You must be adept at G-Suite.

Additional InformationWhat does your playfield look like?

• We work in a flexible but fast paced environment.
• We start and end with customers to deliver exceptional service.
• We love to innovate, prioritize, decide, and deliver.
• We love what we do, and we don’t rest until our targets are achieved.. So if you’re also someone who is driven until the dream is achieved, come join us.

Expected salary:

Location: Karachi, Sindh

Job date: Thu, 07 Nov 2024 05:44:13 GMT

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