Big Data Analyst

YOUR FUTURE, ON DEMAND The ideal blend of stability and flexibility. A genuinely human employer that cares for people and the planet. True autonomy to shape what comes next, for us and you. This is the perfect platform to take your career where you want. Back in 2005, we pioneered Europe’s first TV streaming service. Today, we’re the world’s first certified climate neutral TV streaming provider. Several million users across three countries. Over 230 colleagues of 47 nationalities. We’re the grown-up start-up, helping to shape a better future since day one. That hasn’t changed, even if the world has. We’re friendly, international, inclusive – and our people say we’re reliable and transparent, too. It’s why they trust us and believe in what we do. THE ROLE We are looking for a Data Analyst to join Zattoo's BI Team following an internal transition. This is not a typical dashboard-producer role. We want someone who combines deep technical craft — writing production-grade SQL, building DBT models, orchestrating pipelines — with the commercial instinct to turn raw data into decisions. We are also actively exploring how AI and LLM tooling can augment the way we work, and we want someone genuinely curious about that space. This role sits at the intersection of Data Engineering and Business Analysis. You will own analytical products end-to-end: from schema design and DBT model authorship, through to stakeholder presentations and strategic recommendations - without needing to hand off at either end. THE TEAM You'll join a compact BI team of four analysts, reporting to the Head of Business Intelligence. We operate across Zattoo's DE, CH, and AT markets, supporting product, commercial, and executive stakeholders. We process 6 TB of event data daily and are mid-way through a migration from a legacy Vertica/Jenkins stack to a modern GCP architecture (BigQuery, Airflow, dbt). There is real scope to shape how we do things - this is not a maintenance role. WHAT YOU’LL DO Own analytical domains end-to-end: Design and maintain DBT models, write production SQL in BigQuery, and deliver finished insight - not raw data - to stakeholders. Proactively generate business insight: Go beyond answering questions. Identify trends, anomalies, and opportunities autonomously and bring them to the relevant team before they ask. Build and maintain Tableau dashboards: Design decision-oriented dashboards tuned for product, commercial, and executive audiences - including external-facing B2B analytics. Collaborate on the data stack: Work closely with Data Engineers on Airflow pipelines, schema evolution, data quality and governance. You should be comfortable reading and contributing to pipeline code. Partner with stakeholders: Translate ambiguous business questions into analytical frameworks. Run working sessions, present findings, and advocate for data-informed decisions at all levels. Support A/B testing and experimentation: Design test setups, validate statistical significance, and