Data Analyst (Payment, Fintech)
Data Analyst (Payment, Fintech)
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Job Description
We are on the lookout for a Data Analyst (Payment) to join the Fintech team on our journey to always deliver amazing experiences.
Be part of building the financial backbone of Delivery Hero. Youll develop products that empower millions of customers and merchants from seamless payments to innovative financial solutions like wallets and credit. Your work will support our path to profitability by creating financial flexibility for users and enabling smooth transactions across 70 countries.
In this role you will:
Partner closely with Fintech Business and Product stakeholders to understand their analytical needs and execute the roadmap for analytics work for Payment Analytics
Develop and optimize monitoring tools perform deep-dive analysis and provide insights to facilitate a data-driven decision making
Exploit and analyze high volumes of data in order to quantify and answer questions to improve the business performance. Monitor KPIs identify user behavior patterns and actively take actions to improve online payment performance across multiple regions
Demonstrate proficiency in coding practices and analytic approaches
Be able to answer the What question effectively and within reasonable deadlines but also think about the So What and Now What portions of the analysis
Proactively bring new ideas and suggestions to the team and our internal clients to improve our Fintech set up
Qualifications :
- You have worked as a data analyst and delivered measurable impact on improving understanding of payments
You have proven experience with daily practice of SQL and visualization tools such as Tableau and Looker
You have experience working with online payments and deep knowledge of the PSP issuer acquirer and card scheme data.
You are eager on making business impact through analytics and you understand the product lifecycle
You have strong analytical and problem solving skills
You demonstrate excellent communication and presentation skills
Nice To Have:
Experience with BigQuery Airflow and Python
Understanding of real-time data analytics
Good understanding of mathematical and statistical data analysis techniques such as regression extrapolation time series analysis forecasting statistical hypothesis testing and econometric models
Additional Information :
Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful mind-boosting endorphins: Health Checkups Meditation Yoga Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it well help you with it: Employee Share Purchase Plan Sabbatical Bank Public Transportation Ticket Discount Life & Accident Insurance Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses.
Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!
We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
