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Data Analyst with ML Experience (w/m/d)
Billie

  • Berlin, Germany
  • Full-time
  • Hybrid
  • No Salary Information Available
Posted 47 days ago

Billie is a front-runner in offering Buy Now, Pay Later solutions for businesses, aiming to revolutionize business payments with their modern, scalable technology. The Analytics team plays a pivotal role in supporting various company functions through data-driven insights and strategic recommendations, contributing significantly to organizational growth.

In this role you can expect to have the responsibilities:

  • Conduct analysis to understand product usage and support strategic business decisions.
  • Support product teams with tracking and measurement plans.
  • Design data models for reporting and analysis needs.
  • Develop and maintain analytical dashboards and reports using business intelligence tools.
  • Optimize data processes and improve data collection strategies.
  • Analyze and track key performance indicators within Billie's portfolio.
  • Utilize statistics and machine learning for actionable business solutions.
  • Perform exploratory data analysis to enhance Risk and Fraud systems.
  • Present key insights and recommendations to stakeholders to influence decisions.

This role comes with the following benefits:

  • Engaging work that fosters personal and professional growth.
  • Flexible work hours and a hybrid work model.
  • Virtual Shares Incentive Programs.
  • 30 days of annual leave plus public holidays and sabbaticals.
  • Discounts on public transport and developmental budgets.
  • Multicultural team environment with numerous company events.
  • Office location with free gym access and refreshments.

This role requires you to have:

  • 5+ years experience in data analytics or quantitative analytics.
  • Strong proficiency in SQL for large datasets.
  • Knowledge of advanced data and statistical concepts.
  • Experience in creating data visualizations with tools like Looker or Tableau.
  • Ability to manage complex data initiatives.

You would benefit from having:

  • Experience with Python and R.
  • Background in fraud, risk, and payment management environments.

Billie promotes diversity and inclusivity, celebrating talents from various backgrounds without discrimination. The company encourages a dynamic and supportive work environment.

The content on this page is not written or managed by Alooba. Please reach out to Billie directly for any addtional information regarding this role.

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