Data Analyst - DH pay
- Hiring from
- Greece
- Work type
- Hybrid
- Posted
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Delivery Hero Payments S.A. is a licensed payment institution based in Greece, enabling digital payment and merchant settlement operations for our affiliated EU marketplace platforms across the Delivery Hero group, that includes leading marketplace brands like eFood, Foody, Foodora, etc.. We operate at scale, processing high marketplace volumes, while maintaining a clearly defined intragroup operating scope focused on governance, security, compliance, operational excellence, risk management and at the same time act as enablers of the fintech strategy of the Group with services aiming both consumers and vendors.
We are now looking for a Data Analyst who will own the data behind our payment and compliance operations: reliable datasets, reconciliations and reporting across all of DH Pay while having the opportunity to dive into the payments ecosystem of one of the biggest delivery platform ecosystems globally.
You will act as the interconnection point, bringing together data from multiple systems and turn it into clear reporting and recommendations, highlighting business areas and providing answers for senior stakeholders. You will work with Compliance, Operations, Finance, Risk, Product and Group BI teams. Reporting to the Project Office manager, the position will also provide the opportunity for the right candidate to get an overview of the innerworks of a licensed Payment Institution having large scale operations across multiple European countries. The role is based in our Athens office.
What you’ll do
Own and lead analysis across all DH Pay, delivering structured presentations and clear recommendations to Senior Management.
Build and maintain dashboards and reports (SQL, BI tools) that give stakeholders a reliable view of KYB, payment, compliance and operational KPIs across platforms and countries, while defining KPIs with stakeholders, to measure what matters.
Analyze payment performance, explain performance drivers, diagnose root causes and proactively identify opportunities across products and countries, and turn findings into clear recommendations, challenging assumptions where needed.
Reconcile data from multiple platforms, including external vendor usage reports against actual system usage, and investigate and document discrepancies (Excel, SQL, Power BI, Tableau, Looker).
Prepare analysis-ready datasets by resolving duplicates, inconsistent coding and missing fields, documenting assumptions and data limitations, and maintaining shared data definitions.
Support compliance reporting by providing data and reporting for KYB, AML and regulatory requirements to Compliance and Operations.
Define data requirements by specifying data needs, extraction and automated flows with Group & local BI teams and engineering, and validate data during UAT.
Size the impact of improvements and roadmap initiatives by quantifying costs, savings and success metrics.
Bachelor’s degree in Business, Finance, Information Systems, Economics, Statistics or a related field
3-5 years as a Data Analyst, BI Analyst or similar, ideally in payments, FinTech, banking or other regulated environment
Strong SQL and spreadsheet skills (Excel or Google Sheets), and experience with BI tools (e.g. Looker, Tableau)
Hands-on experience managing, reconciling and analyzing large datasets
Ability to define data requirements and document data definitions and assumptions
Presentation skills, good written and verbal communication, ability to explain findings and data limitations, adapting the message for technical and non-technical audiences
Structured problem-solving and high attention to detail, with the ability to take an ambiguous question, form a hypothesis and iterate to an answer without perfect requirements
Ability to work independently in a fast-paced environment and balance multiple priorities
Excellent command of Greek and English (written and spoken).
Nice to have:
Understanding of payment ecosystems: cards, wallets, local payment methods and settlement
Experience with reconciliation, payouts, or fraud/risk analytics
Familiarity with KYC/KYB, and/or AML and/or compliance processes and/or fraud & risk analytics
Python or R for analysis, including segmentation and regression
If you are happy, we are happy! That’s why we offer an attractive remuneration package for what you bring in!
We share a passion for food, so you will certainly appreciate the ticket restaurant card 💳 to spend in restaurants and/or food supplies. We are efooders after all!
We take care of you with Private Medical & Life Insurance from day #1 to keep you healthy and happy!
We want you to grow with us 🚀 ! And to help you keep improving, we provide you access to our online training platform where you can study 📖 topics for your personal and professional growth!
Are you a cappuccino lover ☕? Do you desperately want a cookie? Our cafeteria got you covered!
If you want to stay in shape 🏋️ , our in-house gym awaits you fully equipped! You can also join our remote fitness sessions and classes from the safety of your home!
Life @DH Payments:
You will be a part of a fast-growing multinational company, member of the Delivery Hero SE, with the opportunity to acquire new skills and grow professionally.
Moreover, you will have the opportunity to function in an established, yet creative and fun working environment with people who are genuine, ambitious and participate in a theme that its highest goal is to maintain DH Pay the ideal workplace.
Hungry enough to join us?
At efood, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.
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