Insight-Driven BI Analyst

Securitas Direct, part of Verisure; Madrid; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

Verisure is seeking a Business Intelligence Analyst to join the Madrid-based Data & Analytics team. You will turn data into actionable insights, drive KPI-driven reporting, and collaborate with stakeholders across the organization to enable informed decisions.

The role focuses on strengthening data foundations, ensuring data quality, and partnering with Data Engineering and Data Science to build a scalable data environment. Strong English and experience with large datasets are essential.

Formación

• Bachelor’s degree in a relevant field
• A couple of years of experience in Business Intelligence or Analytics
• Strong SQL skills and experience working with large datasets
• Experience with BI tools (e.g., Power BI, Tableau, Looker)
• Knowledge of data modelling and KPI design
• Advanced Excel skills
• Professional level of English

Responsabilidades

• Drive insights that matter by identifying trends, risks, and opportunities and translating challenges into actionable recommendations across business functions.
• Deliver reporting that drives action by owning dashboards, ensuring meaningful KPIs, and aligning with business goals.
• Partner with the business by working with stakeholders, challenging assumptions, and communicating insights with clarity.
• Strengthen data foundations by promoting data quality and collaborating with Data Engineering and Data Science to improve reliability and scalability.

Conocimientos

SQL

Advanced Excel

Data modelling

KPI design

English

Educación

Bachelor’s degree in a relevant field

Herramientas

Power BI

Tableau

Looker

Descripción del empleo

Verisure is seeking a Business Intelligence Analyst to join the Madrid-based Data & Analytics team. You will turn data into actionable insights, drive KPI-driven reporting, and collaborate with stakeholders across the organization to enable informed decisions.

The role focuses on strengthening data foundations, ensuring data quality, and partnering with Data Engineering and Data Science to build a scalable data environment. Strong English and experience with large datasets are essential.