Big Data Analyst

📋 Description

• Own analytical domains end-to-end: Design and maintain DBT models, write production SQL in BigQuery, deliver finished insight - not raw data - to stakeholders.
• Proactively generate business insight: Identify trends, anomalies, and opportunities autonomously; bring them to the relevant team before they ask.
• Build and maintain Tableau dashboards: Design decision-oriented dashboards for product, commercial, and executive audiences.
• Collaborate on the data stack: Work with Data Engineers on Airflow pipelines, schema evolution, data quality and governance; 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 communicate results as product recommendations.

🎯 Requirements

• 4+ years of experience as a Data or Analytics Engineer in a digital or tech product company
• Expert-level SQL: you write complex, optimised queries without looking things up
• Hands-on experience with BigQuery as a primary data warehouse
• Practical experience with DBT - writing models, tests, documentation, and understanding lineage
• Experience building and scheduling data pipelines with Apache Airflow
• Strong Tableau skills - you build dashboards that drive decisions, not just display numbers

🎁 Benefits

• 30 days vacation plus public holidays
• Flexible working hours and remote work worldwide up to 8 weeks/year
• Free streaming access for employees
• Development budget, German classes and all-company hack days
• Inclusive, diverse team across 47 nationalities
• Health checks and mental wellbeing support