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Fever is the world's leading tech platform for culture and live entertainment, operating in 55+ countries with 300+ million monthly users. The company partners with major brands like Netflix, F.C. Barcelona, and Primavera Sound to democratize access to live experiences.
As a People Operations Data Analyst, you'll join the People Analytics team to transform HR data into actionable insights that drive talent strategy and employee experience decisions across the organization. You'll work with a modern analytics stack including BigQuery, Dataform, Looker, and Google Sheets/Apps Script, integrating data from HRIS and ATS systems.
Key responsibilities include:
- Serve as the primary reference for People data insights, supporting HR, Talent, Finance, and regional teams in strategic decision-making
- Build and maintain automated dashboards and reports tracking key People metrics: headcount, attrition, compensation, performance, and hiring
- Write SQL queries in BigQuery and model People data to ensure reliability, documentation, and reusability across teams
- Develop internal tools and lightweight applications using LLM-assisted development to automate manual People processes
- Design and validate AI-powered workflows for People data (e.g., natural-language querying, automated reporting) with strong emphasis on privacy and access control
- Own data quality and consistency across People systems by identifying issues, tracing root causes, and implementing fixes
- Continuously explore new tools and methodologies to advance People Analytics capabilities
The role is hybrid, based in Madrid's heart, with flexible scheduling and home office options. You'll work with a young, international team in a high-growth environment with responsibility from day one.
Requirements:
- 1–3 years of experience in data analytics (People Analytics experience is a plus)
- Degree in Business, Economics, Data Science, Mathematics, Engineering, or similar field (Master's degree is a plus)
- Strong SQL skills and solid proficiency with Google Sheets/Excel
- Experience with BI tools such as Looker or equivalent
- Hands-on experience using LLMs (Claude, ChatGPT, Gemini, etc.) to accelerate SQL, scripting, or app development, with judgment to review and validate outputs
- Ability to communicate findings clearly to non-technical stakeholders and translate data into actionable recommendations
- Understanding of sensitive data handling, particularly for compensation and performance data, especially in AI contexts
- Fluent English (Spanish is a plus)
