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Junior People Operations Data Analyst
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- Entry level
Job title: Junior People Operations Data Analyst
What you’ll work on
Full postingBuild and maintain automated dashboards for headcount, attrition, pay, performance and hiring
Write and document BigQuery SQL models of People data
Build internal tools that replace manual People processes, using LLM-assisted development
Design and validate AI workflows over People data with strong privacy controls
Detect and fix data quality issues across People systems
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- Degree in Business, Economics, Data Science, Mathematics, Engineering or similar
- 40% discount on all Fever events and experiences
- 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.
Preferred experience
- 1-2 years of experience in data analytics; People Analytics is a plus.
- a Master's is a plus
Qualification wording
Degree in Business, Economics, Data Science, Mathematics, Engineering or similar (a Master's is a plus).
40% discount on all Fever events and experiences
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.
1-2 years of experience in data analytics; People Analytics is a plus.
Education & alternatives
- 1-2 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).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 202618 days ago
- Recorded sightings
- 109
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
FeverUp is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- BigQuery
- Excel
- Looker
Where the posting names them
- 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.
- 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.
- 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.
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.
Your next step
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
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.
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
- 1-2 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
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- Pay
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- Location & working pattern
Madrid
- 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!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.