The job, in the employer's words
Hey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment.
Our mission? 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.
Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?
Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
What You'll Do
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.
Who You Are
- 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).
Why You'll Love It Here
- Opportunity to have a real impact in a high-growth global category leader
- 40% discount on all Fever events and experiences
- Work in a location in the heart of Madrid, with possible travel across our markets
- Home office friendly and flexible schedule
- Responsibility from day one and professional and personal growth
- Great work environment with a young, international team of talented people to work with!
- Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
- English and Spanish Lessons
- Gympass Membership
- We have free food, drink and fruit at the office!
- Possibility to receive in advance part of your salary by Payflow
#hybrid #fulltime
Thank you for considering joining Fever. We cannot wait to learn more about you!
If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
Benefits mentioned
- Opportunity to have a real impact in a high-growth global category leader
- 40% discount on all Fever events and experiences
- Work in a location in the heart of Madrid, with possible travel across our markets
- Home office friendly and flexible schedule
- Responsibility from day one and professional and personal growth
- Great work environment with a young, international team of talented people to work with!
- Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
- English and Spanish Lessons
- Gympass Membership
- We have free food, drink and fruit at the office!
- Possibility to receive in advance part of your salary by Payflow
- #hybrid #fulltime
- Thank you for considering joining Fever. We cannot wait to learn more about you!
- If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
- Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
- If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
- If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
Requirements mentioned
- 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).
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