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Team Lead Data Analysis (m/f/d)


Arvato Financial Solutions offers customers payment solutions that make everyday life simpler!

Our solutions contribute to a flexible and customer-friendly payment alternative, offering customers the opportunity to choose when and how they want to pay for a purchase. Delivering a trustworthy and positive shopping experience, both for retailers and end customers makes us proud but not content. Our ambition is higher and now we have a great opportunity for a Team Lead Data Data Analysis (m/f/d) to join our team.


We are looking for a

Team Lead Data Analysis (m/f/d)

full-time preferably at our location in Verl, Berlin, Oslo or Varberg (other AFS locations to be discussed)


The Data Analysis team is, on an international level (Nordics, Benelux & DACH), responsible for a wide range of tasks such as understanding consumer purchase patterns, maintaining and developing models and analytical tools as well as generating insights and brainstorming new features for creating better models that will be used in the credit strategy.


What you are expected to do:

  • You lead our growing team of Data Analysts, which is spread within Europe.
  • You drive our vision of one AFS data lake to the next level.
  • You develop your growing team to enable the individual team members to take the next steps in their personal and professional development.
  • You align with your direct colleagues in the functional unit Data & Analytics (Data Science, Data Engineering) together with the business units and other functional units (e.g. risk, Finance, Operations) on strategic priorities and translate those business needs into data specifications.
  • You are a key contributor to the overall data strategy by driving initiatives to turn the strategy into actions.
  • You and your team are responsible for researching, developing, and applying statistical models used to make predictions in the credit domain.
  • Explore large datasets and understand consumer behavioural patterns relevant for product development as well as operational efficiency.
  • Work together with Data Scientists and Data Engineers to build and implement risk and fraud and scoring models.
  • Lead initiatives that improve the scorecard development process.
  • You and your team provide recommendations based on data driven insights.
  • Drive a relentless approach to setting and meeting data intelligence standards and improving data quality within the business.


What you should bring:

  • Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Be able to identify issues, structure and conduct necessary analysis and draw conclusions.
  • Exceptional inter- and intrapersonal skills.
  • Ideally first leadership experience and joy in enabling others to grow.
  • Proficiency in programming languages such as SQL, Python, R, Java.
  • Possess the ability to balance multiple priorities, be detail-oriented, work independently and meet deadlines in a fast-paced environment.
  • Team player.
  • Hands-on mentality and result-orientation.
  • Experience with BI tools, preferably Power BI.
  • Master/MBA degree in numerate subject (e.g. Economics, Science, Engineering or Business).
  • Working experience in an agile, cross-functional organisational set up is a plus.
  • Experience within the payments, risk or factoring space is a plus.


This would get us excited but the lack experience of shouldn´t keep you from applying:

  • Experience with the financial industry, especially in Debt Collection and Buy Now, Pay Later.
  • Experience with Terraform.
  • Experience with streaming data Azure Service Bus/Event Hub.
  • Experience in Code based ETL/ELT using Python, Scala, Apache Spark, Databricks, Delta Lake et al.
  • Experience in Low-code ETL using SSIS or similar tools.


We offer you...

For the right candidate we offer the opportunity to play a key role in further develop the companies’ analysis capabilities in a team of highly skilled analysts (m/f/d), using cutting-edge technology.

  • Flexibility: We support you with flexible working time models and opportunities to work mobile.
  • Training & Development: Develop your professional skills and your personality in a fast-growing international company. With our very own Bertelsmann University you get access to over 4,000 e-learning and training offers and exclusive nanodegree programs from Silicon Valley.
  • Diversity: We support diversity in the company - in every regard.
  • International team spirit: You will have fantastic colleagues (m/f/d) from different areas and spread within Europe and US. We work together, solve problems together and celebrate success!
  • The feel-good factor: We hold annual Christmas parties, summer parties and after-work parties for our employees (m/f/d) (in times of Covid-19 we for sure switched to virtual formats...).
  • Valuable benefits: We offer you a competitive salary and benefit scheme.

Who we are

Let's be honest, finance is complicated! So we at Arvato Financial Solutions are proud to be guiding international as well as renowned local companies through the complex world of cash flows. Whether our customers sell shoes in e-commerce or offer telecommunications services, our services ensure efficient credit management for the best possible financial performance. Our approximately 6,000 employees solve new challenges in payments and complex data riddles every day, and do so cleverly, analytically and with an eye for every little detail as that is our DNA. We are seeking colleagues who want to take an active part in this - whether they are young professional, IT specialists, data analysts, advisers, managers or lateral entrants. And thanks to our presence in around 15 countries with a focus on Europe and America, there will usually be the right job available nearby. Innovate Yourself!


We keep what we promise:

Find more information at

Are you already convinced? Then we look forward to your online application with CV, salary expectations and the earliest possible start date.

We look forward to applications from candidates who contribute to the diversity of our company. We relate diversity in particular to the dimensions of cultural or social origin, religion, age, disability, gender and sexual identity.


Company: Arvato infoscore GmbH 

Country: Germany 

State/Region: Nordrhein-Westfalen 

City: Verl 

Postal Code: 33415 

ID: 225761 

Date:  Jun 23, 2022

Verl, NW, DE, 33415

Job Segment: Data Analyst, Manager, Developer, Java, MBA, Data, Management, Technology

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