We’re Fever , the world’s leading tech platform for culture and live entertainment.
To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. We’ve teamed up with major industry leaders like Netflix, F.Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading general investors 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. 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.
1-3 years of experience in data analytics; 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 w

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