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

Billie

Billie is a leading provider of Buy Now, Pay Later (BNPL) services, revolutionizing B2B payments with proprietary, machine-learning-supported risk models and scalable technology. The Data Analyst role within the Analytics team is crucial for driving data-informed decisions supporting various departments, aiding Billie's growth in the fintech industry. This position offers the chance to influence business strategy through data-driven insights and collaborate across multiple functions.

In this role you can expect to have the responsibilities:

• Perform in-depth analysis to understand product usage and business processes.
• Support product segments with effective tracking and measurement plans.
• Design data models for reporting and analysis.
• Create and maintain dashboards using BI tools.
• Enhance and streamline data collection processes.
• Track and consolidate KPI metrics for Billie's portfolio.
• Apply statistical and machine learning concepts for business solutions.
• Present key insights and recommendations to stakeholders.
• Communicate issues independently with internal and external partners.

This role comes with the following benefits:

• Engaging work that promotes personal and professional growth.
• Virtual Shares Incentive Program.
• Flexible work hours for a balanced work-life environment.
• Hybrid work model with up to 3 days remote work per week.
• 30 days of vacation and additional leave benefits.
• Discounted access to transportation programs.
• Annual development budget for skill enhancement.
• Free German language classes.
• Diverse and multicultural team environment.
• Access to a shared office space with amenities like a gym and barista coffee.

This role requires you to have:

• 5+ years of experience in data analytics or data engineering.
• Proficiency in SQL for handling large data sets.
• Advanced knowledge of data analytics and statistical methodologies.
• Experience with data visualization tools like Looker, Tableau, or Mixpanel.
• Strong business acumen and analytical mindset.

You would benefit from having:

• Experience in a fraud, risk, and payment management environment.
• Familiarity with Python and R for advanced analytics.

Billie champions diversity and inclusivity, offering an equal-opportunity workplace that values various talents and abilities, aiming to foster team motivation and creativity.