Data Analyst (Python)

Work from home Full-time role Hiring

Join ViaBill and Shape the Future of Payments!

At ViaBill, we’re redefining Buy Now, Pay Later (BNPL) and scaling fast across Europe. From our beginnings in a Danish art gallery to processing $150M+ annually, we’re now backed by top VCs Headline and BlackFin Capital Partners. And we’re just getting started. If you’re ambitious, adaptable, and eager to make an impact, this is your opportunity to gain hands-on experience in a fast-paced, high-growth FinTech company.

We are seeking a Data Analyst to join our Data & Analytics team. In this role, you will leverage customer data to inform risk models and uncover sales optimization opportunities. You’ll partner closely with risk, product, and sales teams to translate data insights into actionable business strategies that drive growth and keep risk in check.

This is a full-time remote position.

What you will do

Identify patterns and trends that signal sales opportunities and potential product improvements

Monitor KPIs for credit performance, product performance, and customer retention

Partner with risk management, product, and sales leadership to translate analytical insights into strategic initiatives

Provide ad-hoc analyses and support data-driven decision-making across the organization

Prepare clear, compelling data visualizations and presentations to communicate findings to non-technical teams

Use Git/GitLab for version control and collaborative code reviews

Containerize analytical applications with Docker for reproducibility

About you

Strong analytical and logical reasoning sills with an ability to break down complex problem

Python (intermediate): Pandas, NumPy, Pydantic, FastAPI, Pytest

SQL: Advanced querying in PostgreSQL, MySQL, or MS SQL

Experience with analytical notebooks/environments (Jupyter, Google Colab)

Version control using Git/GitLab

Excellent verbal and written communication in English.

Nice-to-have

Familiarity with machine learning algorithms and model evaluation

Hands-on experience with AWS services (e.g., S3, Redshift, SageMaker)

Containerization experience with Docker

Previous experience in the fintech, lending, insurance, or payments industry

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Data Analyst (Python)

What you will do

About you

Nice-to-have

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