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Senior Analytics Engineer (m/f/d)

Ratepay

Berlin

Vor Ort

EUR 65.000 - 90.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Ratepay sucht einen Senior Analytics Engineer, der das Finanzreporting durch selbstbedienungsanalytische Lösungen revolutioniert. Sie werden eng mit Data Engineers zusammenarbeiten, um datengestützte Entscheidungen im Finanzbereich zu fördern und komplexe Datensätze zu integrieren. Wenn Sie über fundierte Kenntnisse in SQL und Datenanalyse verfügen und einen strategischen Ansatz mitbringen, könnte diese Rolle die richtige für Sie sein.

Leistungen

Flexible Arbeitszeiten
Möglichkeiten zur Weiterbildung
Diverse Teamkultur
Moderne Büroinfrastruktur

Qualifikationen

  • Erfahrung in der Entwicklung von Datensätzen für Finanzoperationen mit Kenntnissen in SAP.
  • Strategisches Denken und Problemlösungsfähigkeiten zur Förderung des Geschäftserfolgs.
  • Kenntnisse in Datenvisualisierung und komplexen Themen.

Aufgaben

  • Entwicklung selbstbedienungsreporting Produkte zur Unterstützung von Unternehmensentscheidungen.
  • Zusammenarbeit mit Finanzexperten zur Skalierung des Reporting-Portfolios.
  • KPI-Definition und Katalogisierung für den Finanzbereich.

Kenntnisse

Datenanalyse
SQL
Python
Statistische Analyse
Maschinenlernen

Ausbildung

Hochschulabschluss in Informatik oder verwandten Bereichen

Jobbeschreibung

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Your Mission

You’ll join Ratepay’s Data domain to drive financial reporting and analytics by democratizing access to reporting-ready data via self-service analytics. In the role, you will work closely with the analytics engineering lead and data engineers to strengthen the financial reporting offering on our cloud-native tech stack to enable business users to dive into first and second-order questions via self-service.

Your Mission

You’ll join Ratepay’s Data domain to drive financial reporting and analytics by democratizing access to reporting-ready data via self-service analytics. In the role, you will work closely with the analytics engineering lead and data engineers to strengthen the financial reporting offering on our cloud-native tech stack to enable business users to dive into first and second-order questions via self-service.

The Data department at Ratepay encompasses Data Engineering, Analytics Engineering and BI, Product Analytics and Data Analytics. We work with cloud-native CI/CD tech stack (Snowflake, AWS, Airflow, Tableau, BitBucket, Jenkins, etc.) in an AGILE way, infusing the data mesh principles into our development and release strategies. The role reports to the Head of Data, focusing on automating self-service reporting products and embedding data-informed decision-making across Risk, Product, and Finance domains.

The Impact

  • Work closely with the analytics engineering lead to drive the self-service reporting data product development by building on Ratepay’s cloud native CI/CD stack (Snowflake, AWS, Airflow, Tableau, BitBucket, Jenkins, etc).
  • Collaborate with finance domain experts, data engineers, and data analysts to scale the since reporting suite by merging datasets from SAP BW and SAP ERP.
  • Thought partner to finance domain leads predict and plan for emerging reporting needs.
  • Own KPI definition and cataloging for the finance space.
  • Ensure data availability from source systems to enable rapid response to emerging anomalies.
  • Collaborate with Data Engineering, Analytics, ML, and Finance leadership teams to scope OKR cycles.
  • Support improvements in data and platform infrastructure to enhance analytics capabilities and tools.

That's What You Bring Along

  • Have experience in developing datasets crucial for finance operations with exposure to SAP and SAP BW.
  • Exposure to financial know-how to develop solutions to support finance and controlling domains via cloud tech stack.
  • Be proficient in SQL and hands-on experience with Python to replicate Microsoft Excel based reporting logic.
  • Bring simplicity to seemingly complex topics to scope delivery within OKR cycles.
  • Have experience in data analysis, interpretation, and visualization.
  • Be a strategic thinker with problem-solving skills, focusing on driving business impact.
  • Have had exposure to statistical analysis and machine learning techniques.
  • Be proficient in English and preferably in German.

Equal Opportunities & Diversity

We value our diversity and welcome everyone to our team. Regardless of ethnic and social background, religious beliefs, worldview, gender, sexual orientation, physical and mental limitations, age, marital status, educational background and nationality. With over 200 employees and 40 different nationalities, we take our values seriously. These include; ownership, growth, integrity, collaboration, customer centricity and inclusion.

About Us

We dare to design the future of payments. Ratepay is energy and diversity and: custom-made state-of-the-art payment solutions. Established in 2009 we were a fintech before the word fintech even existed. Today we are the number one white-label Buy Now Pay Later payments provider in Europe handling over 2.5M transactions per month and we’re constantly growing.

We are where we are because we work together as one team. Because we got the freedom to execute ideas. And above everything: because we never stop improving. Here it is all about shared goals not about the big ego. We are dedicated pros (more than 250 of them) not cons. We embrace being courageous, committed and decisive, warm-hearted and having a will to win.

We have our origin in the heart of the payment scene and cover the whole value chain from integration support to the dunning process with a core of AI-based risk management. With us, you can integrate direct debit, instalments and prepayment. In other words: the favourite payment methods in Germany, Austria and Switzerland (the Dutch like it too). Located in the middle of Europe’s fintech metropolis (Berlin) we are proud to work with major partners such as Eurowings, Ebay and About You and hundreds more.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Business Consulting and Services

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