About The Team

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The analytics team builds and maintains the analytics engineering layer that powers reporting, experimentation, and decision-making across the company. The team focuses on creating clean, scalable data models, well-defined metrics, and reliable tracking foundations using dbt and BigQuery.

Get ready to

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- Build and maintain a scalable analytics engineering layer in dbt, including clean models, marts, shared dimensions, and metric-ready tables
- Improve tracking and instrumentation across domains, and identify new opportunities where data can add value. Implement and monitor data quality to ensure accuracy, completeness, and consistency
- Build data products when needed (e.g., marketing performance datasets, customer lifecycle models, cohorting, experimentation-ready tables)




- Continuously improve workflows with best practices (naming conventions, data modeling standards, data quality testing, templates, and CI/CD)
- Communicate clearly with cross-functional teams and non-technical stakeholders
- Support team members in designing, developing, and implementing data warehousing, reporting, and analytics solutions

We expect you to

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- Have 3+ years of experience in analytics engineering, BI engineering, or data engineering, with a strong focus on data modeling
- Have strong SQL skills and use Python for analytics workflows and automation
- Have hands-on experience with dbt, BigQuery, Looker, and CI/CD practices
- Have experience with marketing and website tracking concepts (events, attribution, funnels) — a plus
- Have strong problem-solving and critical thinking skills: able to challenge unclear requests, design robust metrics, and communicate trade-offs
- Have experience setting up or s

📌 Senior Analytics Engineer (Barcelona)
🏢 Kilo
📍 Barcelona