Data Analyst at FeverUp

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Excel, Metabase, A/B Testing, Data Visualization, Dashboard Creation, Statistical Concepts, Business Analytics, Curiosity, Collaboration, Communication, Impact-Driven, Insight Generation, Performance Metrics

Industry

Software Development

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 +40 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. Location: Madrid — Hybrid (2 days/week in the office) About the Role We’re looking for a Data Analyst who’s passionate about uncovering insights and turning them into smarter decisions. You’ll help the Data team measure and improve Fever’s algorithms and optimization systems — making sure we can trust and enhance the models that power our marketing and product strategies. You’ll design metrics, analyze experiments, and translate data into clear, actionable insights that connect science with business impact. We’re looking for someone curious, analytical, and impact-driven. Excited by how data shapes performance, and even more motivated by understanding why things work the way they do. Our vision is to evolve from manual analysis to automated, scalable insight generation powered by AI. This shift will help us react faster to market changes and deepen the quality of insights across the organization. This is an analytics-focused position. While you’ll collaborate with Data Scientists and ML Engineers, your work will concentrate on data interpretation, hypothesis generation, measurement, and visualization — not model development or data pipeline engineering. About the Data Team At Fever, data powers everything we do — from how we connect millions of users with the most relevant live experiences, to how we optimize marketing investment and design scalable internal systems. Our Data organization brings together engineers, scientists, and analysts to build intelligent, data-driven products and solutions that accelerate growth and innovation. As part of this team, you’ll collaborate closely with data scientists and machine learning engineers — helping interpret, measure, and communicate the impact of the algorithms that drive Fever’s global success. What You’ll Do Partner with Data Scientists and ML Engineers to validate models, track experiments, and understand their business impact. Explore data, detect patterns, and explain trends that help teams make smarter decisions. Work with business and engineering teams to translate insights into clear, actionable recommendations. Design metrics, dashboards, and monitoring systems that keep our algorithms and KPIs transparent and reliable. Contribute to a culture of clarity, curiosity, and collaboration, ensuring data drives real impact across Fever. About You Ideally you have +3 years of experience in data analysis, business analytics, or a similar role, but we are open to candidates with any level of experience. Are confident with SQL and comfortable using tools like Python, Excel, or Metabase/other BI’s tools for data exploration and reporting. Understand basic statistical and experimental concepts (A/B testing, control groups, baselines). Motivation to use Cursor or other AI tools to develop analysis and tools. Love visualizing data and building clear, intuitive dashboards. Can define and track key performance metrics to evaluate business and algorithmic success. Communicate analytical results clearly, making complex data accessible to all audiences. Are naturally curious and enjoy investigating how systems and algorithms affect outcomes. Are more motivated by analytics and decision-making than by coding, data engineering, or machine learning development. Speak fluent English (Spanish is a plus). What we offer Opportunity to have a real impact in a high-growth modern company. Real AI exposure. Global scale: Your insights will help optimize results across dozens of markets and product categories. Home office friendly, although location in Madrid is required. 40% discount on all Fever events and experiences. Wellhub Membership: access several gyms, boulders, wellness apps through a monthly subscription. Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee. English and Spanish lessons. 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

Responsibilities

The Data Analyst will partner with Data Scientists and ML Engineers to validate models and track experiments, translating data into actionable insights. They will design metrics and dashboards to ensure transparency and reliability of algorithms and KPIs.