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Fever is a global tech platform for culture and live entertainment, operating in 55+ countries with 300+ million monthly users. The company partners with major brands like Netflix, F.C. Barcelona, and Primavera Sound to democratize access to live experiences.
You will join the Marketing & Growth team as a Senior Data Analyst, serving as the analytical backbone for the Secret Media Network division. This is a hands-on role blending data engineering, business analysis, and AI-powered automation. You will own the data infrastructure the team relies on and actively identify growth opportunities using data-driven insights.
**Key Responsibilities:**
Data Infrastructure & Reporting: Own and maintain data pipelines and dashboards powering team reporting. Establish consistent metric definitions across the organization to ensure aligned success measurement.
Business Analytics & Experimentation: Design and run A/B tests to identify performance drivers across content formats and platform features. Proactively surface growth opportunities from data analysis, not just respond to requests. Translate findings into clear business recommendations.
Data Foundations & Governance: Architect data pipelines and definitions that prevent issues before they occur. Set and enforce standards for data quality, documentation, and access, enabling the team to self-serve data confidently.
AI & Automation: Leverage AI tools to scale analysis—automating recurring reports and building AI-assisted workflows that surface insights. Identify opportunities to automate manual processes and stay current on emerging analytics tooling.
Cross-Functional Support: Act as the data partner for different functions, translating business questions into reliable answers. Present findings to non-technical stakeholders in actionable terms.
**Requirements:**
- Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, Statistics, or related STEM field
- 3–5 years of experience in a Data Analyst, Analytics, or Business Intelligence role, preferably in fast-paced, digital-first environments
- Strong SQL skills and hands-on experience with modern data stacks (dbt or equivalent, cloud data warehouses)
- Experience building and maintaining dashboards (Metabase, Looker, Tableau, or similar)
- Hands-on experience using AI tools to automate or accelerate analytics work
- Curious, business-minded analyst mindset—asking "why" and "what should we do about it," not just "what happened"
- Experience designing or analyzing A/B tests and experiments (strong plus)
- Comfortable with ambiguity and translating messy questions into clear analysis
- Fluent English (written and spoken); Spanish is a plus
