Analytics Engineer: Data Models & Dashboards

BME | Bolsas y Mercados Españoles

Las Rozas de Madrid

Sur place

EUR 55 000 - 75 000

Plein temps

Il y a 8 heures
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Résumé du poste

SIX - BME is seeking an Analytics Engineer to bridge business needs and data delivery. You will translate analytical requirements into trusted data models, metrics and reporting solutions to support decision-making across the organisation.

You will collaborate with international analytics teams, define KPIs, build curated datasets, and develop dashboards using SQL, Databricks, and Power BI, while ensuring data governance and quality throughout the data lifecycle.

Qualifications

  • 4+ years of practical experience in analytics engineering or similar role.
  • Ability to translate stakeholder needs into data requirements and rules.
  • Experience with BI and data visualization tools (Databricks Dashboards or Power BI).
  • Strong SQL and data modelling experience with large datasets.
  • Knowledge of data quality, governance and documentation practices.

Responsabilités

  • Support an international analytics environment used by multiple teams.
  • Translate objectives into analytical, functional and data requirements.
  • Define metrics, KPIs, data logic and design data models.
  • Develop and maintain dashboards and reports with engineers.
  • Document models, transformations, lineage and governance improvements.

Connaissances

Analytics engineering
SQL skills
Data modelling
Data governance
Business intelligence
Dashboard design

Outils

Databricks
dbt
Python
Power BI

Description du poste

SIX - BME is seeking an Analytics Engineer to bridge business needs and data delivery. You will translate analytical requirements into trusted data models, metrics and reporting solutions to support decision-making across the organisation.

You will collaborate with international analytics teams, define KPIs, build curated datasets, and develop dashboards using SQL, Databricks, and Power BI, while ensuring data governance and quality throughout the data lifecycle.

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