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Fever is a global tech platform for culture and live entertainment, reaching over 300 million people monthly across 55+ countries. The company partners with major brands like Netflix, F.C. Barcelona, and Primavera Sound, and is backed by leading global investors.
As a CRM Consultant, you will sit at the intersection of data, strategy, and customer engagement within the Marketing & Growth team. Your primary responsibility is to transform user data and business questions into actionable insights and concrete improvements to Fever's global user retention and growth strategies.
You will define customer segmentation frameworks, measure the impact of engagement initiatives, automate reporting, and translate analytical findings into CRM strategies that the broader team executes. You own the analytical layer that shapes strategic decisions.
Key responsibilities include:
- Design and maintain customer segmentation models, cohort analyses, and behavioral analytics frameworks for Fever's global user base
- Define measurement and attribution methodologies for CRM initiatives, quantifying impact on retention, frequency, and revenue
- Translate business questions into structured analyses and communicate findings clearly to non-technical stakeholders
- Collaborate with Data Engineering and Product teams to build and automate reporting pipelines, dashboards, and data products
- Work with the CRM execution team to define audience targeting logic, personalization rules, and trigger conditions grounded in data
- Identify growth levers across the customer lifecycle (acquisition, activation, retention, win-back) and propose data-backed strategies
- Support cross-functional alignment between Marketing, Product, and Data teams on customer strategy and CRM roadmap priorities
The role is hybrid-based in Madrid with a flexible work setup and a central office location.
REQUIREMENTS:
- Bachelor's or Master's degree in a STEM field (Mathematics, Statistics, Physics, Engineering, or Computer Science) — non-negotiable
- 2–5 years of experience in a data-analytical role: customer analytics, business intelligence, management consulting (strategy/analytics practice), or CRM strategy
- Strong SQL skills; ability to write complex queries to extract and transform customer data independently
- Python or R experience for data analysis and automation; comfortable scripting analyses (not required to be a software engineer)
- Ability to build business cases and communicate data findings to non-technical audiences
- Structured, hypothesis-driven thinking; methodical approach to ambiguous business questions
- High level of English proficiency; Spanish is a plus
- Consulting or analytics background at a top-tier firm (Deloitte, McKinsey, Accenture, BCG, or equivalent) is a significant advantage
- Experience with BI tools (Tableau, Looker, Power BI) is a plus; familiarity with CRM or marketing automation platforms (Salesforce, SFMC, Braze, or similar) is helpful but not required
