Senior Analytics Engineer — Workday Data & Finance

Senior Analytics Engineer — Workday Data & Finance

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Checkout.com

At a Glance

  • Tasks: Own the reliability of accounting use cases and build robust data pipelines.
  • Company: Checkout.com, a leading global fintech based in London.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and collaboration.
  • Why this job: Make an impact by optimising financial operations with cutting-edge analytics.
  • Qualifications: Experience in analytics engineering and proficiency with Workday tools.

The predicted salary is between 60000 - 80000 £ per year.

Checkout.com, a global fintech with London HQ, is seeking a Senior Analytics Engineer specializing in Workday Prism Analytics and Workday Accounting Center. You will own day‑to‑day reliability of accounting use cases while architecting changes, partnering with Finance, Product and Engineering to build robust, audit‑ready data pipelines.

You’ll leverage Workday tools to deliver dashboards and reports that support regulatory and financial operations, tackle data anomalies, and optimise system.

Senior Analytics Engineer — Workday Data & Finance employer: Checkout.com

Checkout.com is an exceptional employer that champions a flexible hybrid working model, allowing employees to balance their professional and personal lives effectively. With a strong emphasis on growth and collaboration, the company provides ample opportunities for career development while working alongside talented teams in the dynamic financial services sector in London. Joining Checkout.com means being part of a forward-thinking organisation that values compliance and innovation in payments and product regulation.

Checkout.com

Contact Details:

Checkout.com Recruitment Team

We think you need these skills to ace Senior Analytics Engineer — Workday Data & Finance

SQL
Communication Skills
Python
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering