Remote Data Analyst (Python)

Description:

• Join ViaBill and shape the future of payments by redefining Buy Now, Pay Later (BNPL) solutions.
• The company is scaling fast across Europe, processing over $150M annually and backed by top VCs Headline and BlackFin Capital Partners.
• The position is for a Data Analyst in the Data & Analytics team, focusing on leveraging customer data to inform risk models and uncover sales optimization opportunities.
• Responsibilities include identifying patterns and trends that signal sales opportunities and potential product improvements.
• The Data Analyst will monitor KPIs for credit performance, product performance, and customer retention.
• The role involves partnering with risk management, product, and sales leadership to translate analytical insights into strategic initiatives.
• The analyst will provide ad-hoc analyses and support data-driven decision-making across the organization.
• Clear and compelling data visualizations and presentations will be prepared to communicate findings to non-technical teams.
• The position requires using Git/GitLab for version control and collaborative code reviews, as well as containerizing analytical applications with Docker for reproducibility.
• This is a full-time remote position.

Requirements:

• Strong analytical and logical reasoning skills with the ability to break down complex problems.
• Intermediate proficiency in Python, including experience with Pandas, NumPy, Pydantic, FastAPI, and Pytest.
• Advanced SQL querying skills in PostgreSQL, MySQL, or MS SQL.
• Experience with analytical notebooks/environments such as Jupyter or Google Colab.
• Proficiency in version control using Git/GitLab.
• Excellent verbal and written communication skills in English.

Benefits:

• Opportunity to gain hands-on experience in a fast-paced, high-growth FinTech company.
• Work in a fully remote position, providing flexibility and work-life balance.
• Be part of a dynamic team that is making a significant impact in the payments industry.
• Collaborate with various teams to drive growth and manage risk effectively.