Work Arrangement
Office Days per Week: 3 days
Key Skills
Job Description
Junior Data Analyst 📍 Amsterdam | 🕒 Full-time | Permanent About FERO At FERO, we’re reinventing checkout for eCommerce. Our Smart Checkout adapts in real time to each shopper, helping merchants increase conversion, improve payment performance, and unlock significant revenue growth. We work with ambitious eCommerce brands across Europe and are growing rapidly. About the role We’re looking for a Junior Data Analyst for our Go-To-Market (GTM) team to support the ongoing improvement of our lead generation and data workflows. This role focuses on operating and maintaining our existing pipeline for processing data from multiple sources, ensuring data quality, and delivering clean, usable data to the GTM team. You’ll be working closely with the data team and leadership to drive FERO to new heights. The work you do will directly impact how efficiently leads are processed and activated across the GTM team. You don’t need to know every tool listed below; we value people who are curious, reliable, and able to learn quickly. What You’ll Do Operate and maintain the lead processing workflow (lead sources → data cleaning → CRM → GTM team) Work with tools like Apollo, Wappalyzer, and similar platforms for lead management Clean, transform, enrich, and validate data before uploading to our CRM Maintain and improve API integrations and data enrichment processes Help automate manual processes to make workflows more consistent and scalable Monitor the pipeline and troubleshoot issues when they arise Assist with GTM KPIs and reporting to support sales team improvement Collaborate with the GTM team to improve data quality and workflow performance Core skills: Python (experience in ETL and scripting; pandas and NumPy proficiency highly valued) SQL (basic to intermediate level; PostgreSQL or MySQL preferred) Data visualization with popular tools (Tableau, Data Studio, Power BI, etc.) Experience with HubSpot or other CRMs Familiarity with LLMs and AI agents (OpenAI, Anthropic, Cursor, etc.) Familiarity with web scraping Experience with Jupyter notebooks Google Workspace (Sheets, Docs, Drive) High level of English (written and spoken) Nice to have: Experience with cloud platforms (AWS, GCP, Azure) Familiarity with basic automation techniques and bash scripting *You don’t need to meet every requirement. If you’re comfortable with the basics and willing to learn, we encourage you to apply. Who You Are Organized and detail-oriented Proactive and able to work independently or as part of a team Curious and motivated to learn Comfortable working cross-functionally and collaborating across teams What You’ll Gain Hands-on experience with real GTM and data workflows Exposure to teams across the company, from Product to Platform Practical skills in automation, data pipelines, and CRM systems Close collaboration with senior engineers and sales leadership Opportunities to improve and scale systems, not just maintain them Room to grow and learn new technologies What we offer Permanent contract. Private health insurance (partially covered). Hybrid work (3 days office / 2 remote). Office in a central location in Madrid. 🧠Hiring process 1. Screening call. 2. Interview with the Hiring Manager. 3. Final conversation. ⚡ Ready to make an impact with data? If you’re excited about working with real data, improving workflows, exploring new technologies, and helping a fast-growing fintech scale, we’d love to hear from you. Join FERO and help us turn better data into better business opportunities!
Core Responsibilities
Operate and maintain lead-processing workflows, cleaning, transforming, enriching, and validating data before it is uploaded to the CRM. Improve integrations and automation, monitor and troubleshoot the pipeline, and support GTM reporting and data quality in collaboration with the GTM and data teams.
Requirements
The role calls for Python scripting and ETL experience, basic-to-intermediate SQL, and familiarity with data visualization tools, CRMs, LLMs or AI agents, web scraping, Jupyter notebooks, and Google Workspace. Candidates should be organized, detail-oriented, proactive, collaborative, eager to learn, and have a high level of written and spoken English.
Benefits
- Private Health Insurance
- Hybrid Work
About FERO
Industry: Software Development
Company size: 51-200 employees
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 behavioural patters, and give merchants the tools for precise targeting to convert visitors into paying customers. We also let you benchmark your performance, offering valuable context on how your e-store compares to industry and sub-vertical peers.