Operations Data Analyst

  • Madrid, Madrid, Spain
  • Full Time
  • Operations
  • Mid Level

Hi, we’re Fever!

Fever is the leading global tech-enabled entertainment discovery platform with a clear mission: to inspire through live entertainment. 

Our mobile-first marketplace allows both discovery/inspiration and seamless 2-click booking. Fever has also created a media network where our online communities can look for inspiration and local information (Secret Media Network owner of media outlets like Secret NYC, Secret London or Madrid Secreto among others). Fever and its Secret Media Network inspires over 60 million people every month to discover the best experiences in their cities.

The preferences expressed by these communities allow us to create new experiences, which we call “Fever Originals”. These are proprietary experiences in which we follow a data-driven content creation strategy, using analytics to understand audiences, develop and optimize new formats. Some successful examples include the “Candlelight Concert Series” attended by over 3 million guests, the Los Angeles based “Stranger Things: The Drive-Into Experience” co-produced with Netflix, or the “Mad Hatter G&T Party”, all launched in multiple cities across the world.

Fever is a US company with a team of over 1.000 people, currently present in more than 80 cities, with offices in many exciting cities such as New York, Los Angeles, Chicago, London, Paris, Madrid, Barcelona, or Sydney, and is backed by leading institutional investors, including Rakuten Capital, Accel, and Atresmedia among others.

In order to pursue this objective we are looking for bar-raisers, people that want to work hard, have fun, and make history with us.


  • Support the Operations team in the continuous improvement of their assets.
  • Help optimize custumer life time value.
  • Lead experiments to generate insights about Operations practices and processes.
  • Uncover through data analysis hidden opportunities for improvement
  • Model drivers of user satisfaction
  • You will be mentored by a Ops Manager to support the Ops team with the best analytics from our department.
  • Building a deep understanding of data and pipelines.
  • This role is suited for Analysts who enjoy a cross-functional role and love to problem-solve. We are looking for a down to earth, detail-orientated person who has a thirst for knowledge and can form their own fair, holistic judgement.
  • Define KPIs that matter and help us to identify the best practices to et a deep understanding of all the variables (both internal and external) that have an impact on the Operations department


  • Bachelor’s degree in engineering, physics, or mathematics preferred. MSc is positively valued.
  • You have a solid knowledge of a programming languages (SQL, R, Python or MATLAB) and, more importantly, the ability to learn a new one.
  • Desirable experience in Business Intelligence projects.
  • You have relevant experience in a quantitative position.
  • You are a data-driven person but you can see beyond data to draw insights and contextualize the data.
  • You have excellent interpersonal skills and the ability to work across many disciplines.
  • You write and speak English fluently.


  • 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.
  • Home office-friendly.
  • Responsibility from day one and professional and personal growth.
  • A great work environment with a young, international team of talented people to work with!
  • Health insurance
  • Gympass
  • Other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
  • English Lessons
  • We have free food, drink and fruit at the office!
  • Possibility to receive in advance part of your salary by Payflow

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!

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