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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 Marketing & Growth team is seeking a CRM Solutions Engineer to sit at the intersection of data, strategy, and customer engagement.
In this role, you will transform user data and business questions into actionable insights and concrete improvements to Fever's global user retention and growth. You'll own the analytical layer that shapes CRM strategy and execution, working closely with cross-functional teams including Data Engineering, Product, and Marketing.
Key responsibilities:
- Design and maintain customer segmentation models, cohort analyses, and behavioral analytics frameworks to understand Fever's global user base
- Define measurement and attribution methodologies for CRM initiatives, quantifying the impact of engagement campaigns on retention, frequency, and revenue
- Translate business questions into structured analyses and analytical findings into clear recommendations for non-technical stakeholders
- Collaborate with Data Engineering and Product teams to build and automate reporting pipelines, dashboards, and data products tracking CRM performance
- 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
You'll work in a hybrid setup with a central Madrid office, joining a dynamic international team. Fever offers competitive compensation, 40% discount on all events, private health & dental insurance (100% covered), gym membership, flexible remuneration (meals, transport, training, nursery support), language learning support, and a collaborative work environment.
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
- 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; 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
