Hello At Factorial, we’re on a mission to help companies manage their people smarter, faster, and better. To support our growth, we’re looking for a Data Entry Analyst that would be responsible for data extraction, transformation, and loading (ETL), working closely with other data and configuration teams to ensure seamless integration of operational and historical data.
Are you ready for the challenge?
About The Role
As a Data Entry Analyst–All Markets, you’ll join our Customer Experience team and be responsible for accurately entering, and optimizing customer data within Factorial’s platform.
You’ll work with sensitive and confidential information, ensuring data integrity, consistency, and security at all times. Beyond day-to-day data entry, you’ll help define priorities, support internal teams, and contribute to improving processes through automation and smart tooling.
What will you be doing?
- ETL Workflows: Design and implement data pipelines to extract, transform, and load (ETL) customer data into the SaaS platform using internal tools and low-code automation.




- Legacy Migrations: Lead the migration process for customers moving from legacy systems, ensuring their historical data remains intact, compatible, and accurate.
- Source Management: Manage the integration of multiple data sources, ensuring consistency and resolving any formatting conflicts during the loading process.
- Precision Entry: Accurately input text, numerical data, and customer information into Factorial’s systems where automated solutions are not yet available.
- Security & Discretion: Handle sensitive and confidential HR/customer data with a high level of discretion and in strict accordance with security protocols.
- Collaboration: Collaborate closely with internal teams, supporting their data-related needs.
- Innovation: Identify opportunities to improve efficiency by testing, developing and implementing automation tools.
- AI & LLM Collaboration: Support the development of internal AI and L

📌 Data Entry Analyst (Barcelona)
🏢 Factorial
📍 Barcelona