> Markdown version of [/jobs/ext/4255572-people-operations-data-analyst](https://www.wearedevelopers.com/jobs/ext/4255572-people-operations-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # People Operations Data Analyst - **Company:** FeverUp - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Applicant Tracking Systems, BigQuery, Human Resources Information System (HRIS), HR Analytics, Standard Sql, Software Engineering, SQL Databases, Scripting, Large Language Models, Data Analytics, Claude, Google Gemini, Looker Analytics, GPT - **Published:** October 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1c987631c9a9f77a ## About the Role * 1-3 years of experience in data analytics; People Analytics is a plus. * Degree in Business, Economics, Data Science, Mathematics, Engineering or similar (a Master's is a plus). * Strong SQL and solid command of Google Sheets/Excel; experience with a BI tool (Looker or similar). * Hands-on experience using LLMs (Claude, ChatGPT, Gemini…) to accelerate SQL, scripting or app development, and the judgment to review and validate their output. * Ability to explain findings clearly to non-technical stakeholders and turn data into recommendations. * Care for sensitive data: you understand why compensation and performance data need special handling, especially with AI tools. * Fluent English (Spanish is a plus). ## Description At Fever, People decisions run on data. As part of the People Analytics team, you'll turn data into actionable insights that shape our talent strategy and employee experience! You'll work on top of a modern stack (BigQuery, Dataform, Looker, Google Sheets/Apps Script) and connect HRIs and ATS systems. We use AI daily to build faster, and we expect you to do the same, with good judgment. * Be the reference for People data insights, supporting HR, Talent, Finance and regional teams in their decisions. * Build and maintain automated dashboards and reports for key People metrics (headcount, attrition, compensation, performance, hiring). * Write SQL (BigQuery) and model People data so it is reliable, documented and reusable. * Build internal tools and lightweight apps on top of our data, using LLM-assisted development, to replace manual People processes. * Design and validate AI-powered workflows over People data (e.g. natural-language querying, automated reporting), with a strong focus on privacy and access control. * Own data quality and consistency across People systems: detect issues, trace them to the source and fix them. * Keep exploring new tools and methods to raise the bar of what People Analytics can do.