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Category Analyst (STEM)

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 750 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.

About You

  • Bachelor’s degree with Engineering/Technical background required.
  • Excellent written and spoken English and Spanish
  • Good knowledge of any programming languages and mostly the ability to learn new one
  • Strong analytical and quntitative skills; strong bias towards data-based decision.
  • To love everything data - designing models, reporting, driving results/growth
  • Good time management skills.
  • Ability to communicate clearly and effectively
  • High sense of ownership, urgency, and drive.
  • Excellent interpersonal skills with ability to work successfully across many disciplines.

Preferred Qualifications

  • A higher degree (Master's, PhD) preferred 
  • More than 2 years in an analytical role/project management.
  • Good knowledge of SQL, Python
  • Knowledge of BI tools (MicroStrategy, Power BI, QlikView)
  • Knowledge of Machine Learning and Data Analytics techniques and software
  • Digital marketing background experience in social paid platforms

About the role

  • Optimizing the Fever marketplace using data-driven techniques
  • Analyzing and understanding user behaviour and plan categories performance
  • Developing machine learning models to predict plan performance and to optimize category performance and net revenue
  • Working with the Category Manager and the Marketing team to define/understand KPIs & Business Goals and to identify business opportunities

Benefits & Perks

  • Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
  • 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
  • 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 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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