Marketing Analytics Intern at Delivery Hero

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data analytics, AI agents, Automation, Tableau, Looker, Github, Version control, Experimentation, Data-driven decision making, Strategic analysis, Communication, 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 seeking an Marketing Analytics Intern to join us where you will gain real exposure to data-driven decision making. From day one, you will get exposure to real analytics initiatives and gradually take ownership of a project to be completed by the end of your internship. You will start by supporting the team in their day-to-day tasks, then move towards working more independently, with guidance and mentorship along the way. During your time with us, you will have the opportunity to work on a broad range of business topics, depending on the projects and domains you are assigned to support. Find out more about our Data Analytics folks here: Turn insights into impact! Looking for a career in data analytics? This could be the opportunity for you! Responsibilities Actively monitor emerging AI trends and technologies to evaluate potential enhancements to our day-to-day work Build and refine AI agents and automating current processes to handle data tasks Take ownership of internal R&D projects, moving from initial concept to a functional tool or process with minimal supervision. Lookout for opportunities for automation and standardisation. Ability to drive ad-hoc and strategic analysis. Qualifications Minimum 3-months availability for this internship period. Currently pursuing or recently completed a degree in Data Analytics, Computer Science, Engineering, Statistics, or any related quantitative field. Familiar with SQL or Python, with a passion for learning more. Comfortable working with data and curious about solving problems through analytics. Strong communicator, eager to collaborate with teammates and present findings clearly. Proactive, adaptable, and excited to take on challenges in a fast-moving environment. Additional Information What we offer: Practical experience: Work on meaningful projects with real business impact. Technical growth: Develop skills in SQL, Python, Tableau/Looker, Github, and Version Control tools; while also learning the basics of experimentation. Mentorship & support: Learn from experienced team members in a collaborative environment. Business exposure: Learn how data supports different business functions and drives informed decision-making. foodpanda is operated by Delivery Hero Group (“DH Group”) - the world’s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017. In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 17 markets in both regions.

Responsibilities

The intern will monitor AI trends, build AI agents, and automate data tasks to improve day-to-day operations. They will also take ownership of internal R&D projects and conduct ad-hoc strategic analysis.