Senior Manager, Finance Analytics

Deskripsi pekerjaan

“Bringing convenience to your everyday” - that’s our mission at foodpanda (small ‘f’)! So whether it’s by delivering food on our signature pink bikes, providing insights into the newest food trends, or getting you the groceries you need, we’re all about keeping you fed. As we move to grow throughout the Asia-Pacific region, we’re on the lookout for talent who are excited about making a tangible impact with a fast-growing organisation looking to redefine how food, people, culture, and technology are connected. We are looking for a highly analytical Finance BI talent to join our Regional team based in the Singapore, overseeing the business in our APAC and Europe markets. The Finance BI Manager will collaborate with stakeholders across multiple continents to support the team in reporting, analysis, automation, and process improvement. The ideal candidate will have a track record as a significant individual contributor as well as a strong team player. The individual will have exceptional attention to detail, but will also be a strategic thinker, excited by the opportunity to test ideas and lead projects that impact the company. ### Responsibilities: - Build strong relationships with internal stakeholders to understand business challenges and opportunities. - Recommend solutions across the complex range of data visualization products and processes. - Manage end-to-end data projects; identify issues, gather information from various sources, analyze data, interpret patterns and trends, give recommendations, build models, and create insightful automated reports - Review day-to-day operation processes, identify areas of improvement and make actionable recommendations based on underlying analysis - Analyze regional P&L performance, identifying key drivers of revenue and cost variances across APAC and Europe - Interpret financial trends to provide commentary on business performance against budget and historical benchmarks - Lead ad-hoc strategic deep-dives, translating raw data into actionable recommendations for regional leadership - Continually automate/streamline processes to improve business efficiency in the region.