
FERO boosts conversion rates and average order values (AOVs) by delivering unmatched personalisation to every visitor. We predict the likelihood of a visitor abandoning their cart, identify…

FERO boosts conversion rates and average order values (AOVs) by delivering unmatched personalisation to every visitor. We predict the likelihood of a visitor abandoning their cart, identify…
Product: FERO Smart Checkout — AI-driven checkout personalization and payment-path optimization
Headquarters: Amsterdam, Netherlands (Fero Payment Science B.V.)
Seed Raise: $3.0M seed announced Nov 2, 2023
Founders / Leadership: Craig Savage (Co‑Founder & CEO), Chris Stein (Co‑Founder & CCO), Paul‑Christian Stoy (Co‑Founder & CTO)
Scale Signal: Optimizes 10M+ checkouts per month (network claim)
E‑commerce checkout conversion and payment-path personalization
Fintech / E‑commerce
$3.0M
Announcement names Coatue, Volta Ventures and Antler as participating investors
“Coatue, Volta Ventures, Antler (named participants in seed round)”
| Company |
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📍 Madrid
⚡ Hybrid
🕒 Full-time
👋 About FERO
FERO is a fast-growing SaaS startup helping eCommerce brands fix broken checkout experiences and increase revenue.
We’re building the data engine behind our Go-To-Market team — and we’re looking for a Junior Data Analyst to help us scale how we generate, process, and activate data.
🚀 Why join FERO?
Hands-on experience with real data workflows
Work directly with senior engineers and leadership
Learn how modern GTM and data systems actually scale
High ownership from day one
Fast-paced startup environment where you’ll grow quickly
🎯 About the role
This is a data + operations role focused on making our lead generation engine run smoothly.
You’ll work with real datasets — cleaning, enriching, and structuring data that powers our GTM team.
You don’t need to know every tool.
You do need strong fundamentals, attention to detail, and a willingness to learn.
💥 What you’ll do
Work with data from multiple sources and prepare it for use by the GTM team
Clean, transform, and validate datasets
Support and maintain data pipelines and workflows
Help automate manual processes
Monitor data quality and fix inconsistencies
Work with tools like Apollo, Clay, Wappalyzer and similar platforms
Collaborate with the GTM team to improve data quality and performance
🧠 Core skills (must-have)
Python (pandas, data manipulation)
SQL (basic to intermediate)
Basic web fundamentals (HTML, CSS, JavaScript)
➕ Nice to have
Experience with CRMs (HubSpot or similar)
Exposure to APIs, data enrichment, or scraping
Familiarity with LLMs / AI tools (OpenAI, etc.)
Jupyter notebooks
Cloud platforms (AWS, GCP, Azure)
🧬 Who you are (this matters most)
Highly detail-oriented — you catch errors others miss
Curious and eager to learn
Reliable and structured
Proactive and able to work independently
Comfortable working across multiple tasks
Team player
🧭 What we’re really looking for
We care more about attitude and fundamentals than checking every box.
If you:
Have solid basics (Python + SQL)
Are detail-oriented and reliable
And genuinely want to learn fast
👉 You’ll do great here.
🧭 Hiring process
Application review
Intro call
Technical conversation
Final interview
Offer 🚀
⚡ Ready to learn fast and work with real data?
If you want to build real skills, work on meaningful systems, and grow quickly — we’d love to meet you.
👉 Apply now
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