What You Will Do

Support an international analytics environment serving more than 14 internal analytics teams and over 600 users with reliable, reusable and well-governed analytical data products. Collaborate with business stakeholders to understand objectives, processes and decision-making needs, and translate them into clear analytical, functional and data requirements. Define business metrics, KPIs and data logic, and design, build and maintain curated datasets, reusable data models and semantic models using SQL and modern data transformation practices. Develop and maintain dashboards and reports, working with data engineers to integrate source data, resolve data quality issues and deliver scalable solutions aligned with platform standards. Document data models, metric definitions, transformation logic and lineage, and contribute to governance, standards and continuous improvement for analytics engineering and self-service analytics.

What You Bring

4+ years of practical experience in analytics engineering, business intelligence, data analysis, data modelling or a comparable role. Ability to analyse business processes and stakeholder needs and translate them into precise data requirements, transformation rules and practical analytical solutions. Experience with business intelligence and data visualisation tools, preferably Databricks Dashboards or cloud-based Power BI, including semantic modelling, dashboard design and KPI definition.



Strong SQL skills and hands-on experience transforming large datasets into reliable analytical and dimensional data models; experience with Databricks, Lakehouse platforms, dbt or Python is an advantage. Good understanding of data quality, testing, documentation, lineage, governance, version control and structured development practices. Ability to structure ambiguous problems independently and work effectively with business and technical stakeholders, supported by strong analytical, communication and presentation skills, a proactive learning mindset and fluency in written and spoken English. We value diversity, and the enrichment it brings to our company. We look forward to all applications, regardless of personal background. If you have any questions, check out our or call Yuliya Stoyko at . For this vacancy we only accept direct applications. Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

What We Offer

Adaptable Work Models
We trust our employees and offer a work environment that is well-balanced, productive and fosters success.

Personal Development
You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.

Agile Working Methods
Whether through scrum or design thinking,
we solve exciting tasks together in teams.

📌 Analytics Engineer (Las Rozas de Madrid)
🏢 Six
📍 Las Rozas de Madrid