Controlling Business Intelligence Specialist at Delivery Hero

Taguig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, Reporting, Analysis, Automation, Process Improvement, Data Visualization, Data Projects, P&L Analysis, Financial Trends, Strategic Deep-Dives, Tableau, Financial Models, Excel, SQL, Data Integrity, Problem-Solving

Industry

technology;Information and Internet

Description

Company Description foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. Job Description We are looking for a highly analytical Finance BI Specialist to join our Regional team based in the Philippines, overseeing the business in our APAC and Europe markets. The Finance BI Specialist 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. Qualifications Requirements: Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Statistics or experience in a quantitative field where you gained experience in Business Intelligence, Controlling, or FP&A Conceptual knowledge of Financial Statements (Profit & Loss, Balance Sheet, Cash flow), working knowledge is a plus Professional certifications (e.g., CPA, CFA, or CIMA) are a significant plus. Minimum 3-4 years of experience in analytics & data science Strong experience in BI reporting software such as Tableau, with the ability to build automated financial models, cash flow dashboards, and budget trackers Quantitative mindset & proven analytic capabilities. Should be able to collect, organize, analyze significant amounts of information accurately Advanced Excel, SQL knowledge and experience High attention to detail and meticulous approach to data integrity Excellent analytical and problem-solving skills. Ability to contribute both independently and as part of a team. Knowledge of data science and statistical modeling skills is a plus. Demonstrated ability to work cross-functionally

Responsibilities

The specialist will build stakeholder relationships to understand business needs, manage end-to-end data projects including analysis and reporting, and review operations to recommend actionable improvements. Key tasks involve analyzing regional P&L performance, interpreting financial trends against benchmarks, leading strategic deep-dives, and continually automating processes for efficiency.