Assistant Manager, Data Analytics

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

• Lead end-to-end data projects, encompassing extraction, visualization, analysis, and interpretation, to drive strategic business decisions.
• Develop and implement automated reporting and monitoring systems for real-time insights.
• Build, train, and deploy machine learning models to predict and optimize key business metrics.
• Create and refine models for classification, regression, clustering, and recommendation systems, tailored to business needs.
• Develop comprehensive reports and presentations that effectively communicate analysis and model outcomes to stakeholders, and present findings to senior leadership and other key stakeholders.
• Design and analyze experiments to test hypotheses, measuring the impact of changes on customer behavior and consumption patterns.
• Collaborate with cross-functional teams, including senior leadership, to drive strategic initiatives and enhance processes.
• Ensure data integrity through robust practices, meticulous documentation, and effective knowledge sharing

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Business, or a related analytical field.
• Minimum of 3 years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, and transforming and cleaning both structured and unstructured data.
• Proficiency in analytics tools such as Excel, SQL, Python, and Tableau.
• Strong analytical mind with business acumen to identify patterns, trends, and draw conclusions from large datasets.
• Excellent communication skills to effectively convey insights and recommendations to stakeholders.