Junior Data Analyst

Junior Data Analyst

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 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

What We’re Looking For

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

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.

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

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