People Operations Data Analyst

FeverUp
Madrid, Spain
Career-pivot friendly

Who this role is best for

Strong fit for data analysts with AI-assisted development experience who thrive in collaborative, global environments.

Best fit for

  • Candidates with AI-assisted development experience and a focus on People Analytics
    — “Hands-on experience using LLMs (Claude, ChatGPT, Gemini…) to accelerate SQL, scripting or app development”
  • Individuals who can translate data into actionable insights for HR and talent decisions
    — “Be the reference for People data insights, supporting HR, Talent, Finance and regional teams in their decisions”
  • Professionals comfortable working in a high-growth, international startup culture
    — “Opportunity to have a real impact in a high-growth global category leader”

Things to consider

  • The role requires attention to data privacy, especially with AI tools
    — “Care for sensitive data: you understand why compensation and performance data need special handling, especially with AI tools”
  • The position is likely based in Madrid, with possible travel to other markets
    — “Work in a location in the heart of Madrid, with possible travel across our markets”

How to stand out

  • Highlight experience with AI tools in building People data workflows
    — “Design and validate AI-powered workflows over People data (e.g. natural-language querying, automated reporting)”
  • Demonstrate ability to simplify complex data insights for non-technical stakeholders
    — “Ability to explain findings clearly to non-technical stakeholders and turn data into recommendations”
  • Showcase skills in creating automated dashboards and reports for People metrics
    — “Build and maintain automated dashboards and reports for key People metrics (headcount, attrition, compensation, performance, hiring)”
  • Emphasize your hands-on experience with the technical stack mentioned in the JD
    — “You'll work on top of a modern stack (BigQuery, Dataform, Looker, Google Sheets/Apps Script)”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • 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
  • 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
  • Design and validate AI-powered workflows over People data
Typical background
1-3 years of experience in data analyticsDegree in Business, Economics, Data Science, Mathematics, Engineering or similarStrong SQL and solid command of Google Sheets/Excel

Skills & requirements

Required

Data AnalyticsPeople Data InsightsHRISATS SystemsSQLGoogle Sheets/apps ScriptAI IntegrationData QualityData ConsistencyData PrivacyData Access ControlInternal Tools DevelopmentLightweight Apps DevelopmentAi-powered WorkflowsData ModelingBI Tool UsageData-driven Decision MakingTeam CollaborationCommunication

Preferred

Llm-assisted DevelopmentLookerDataformBigQuery

Stack & domain

SQLBigQueryDataformLookerGoogle Sheets/apps ScriptAILlmsCommunicationProblem SolvingTeamworkPeople AnalyticsHR

About the role

Original posting from FeverUp via Greenhouse

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

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.

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

Source: FeverUp careers (Greenhouse)

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