Data Analyst (with focus on AI) at Verisure

Verisure; Pozuelo de Alarcón; On-site; EUR 32,000 - 52,000; Full time

Job summary

Verisure in Pozuelo de Alarcón, Madrid, is seeking a Data Analyst (AI focused) to join the Analytics team on a full-time, on-site basis. You will transform data into actionable insights that drive business decisions and continuous improvement.

The role requires strong quantitative skills, SQL, Python and BI experience, and the ability to present findings to senior stakeholders in English and Spanish. You will apply practical AI techniques to real-world problems and support cross-functional

Qualifications

• Degree in Analytics, Data Science, Engineering, Mathematics, Statistics, or similar.
• Strong experience in data analysis and KPI interpretation.
• Experience with SQL, Python, and BI tools (Power BI/Tableau).
• Interest in applying AI techniques with business focus.

Responsibilities

• Analyze large data volumes to identify patterns and improvement opportunities with business impact.
• Connect technical metrics with KPIs and strategic objectives to generate insights.
• Apply AI techniques (predictive models, clustering) with a practical focus.
• Design executive presentations and dashboards for senior stakeholders.
• Collaborate with product, technology, operations, and business teams.

Skills

Data analysis

Executive presentations

Cross-functional collaboration

Communication skills

Autonomy

End-to-end data vision

Education

Degree in quantitative field

Tools

SQL

Python

Power BI

Tableau

Job description

Apply for Data Analyst (with focus on AI) at Verisure in Pozuelo de Alarcón, MD, ES. This Full time on site position offers great opportunities for career growth.

Data Analyst (with focus on AI) Role purpose

We are looking to add to the Analytics team a profile 100% focused on data analysis and business impact, with a strong sensitivity towards the world of applied Artificial Intelligence, capable of transforming complex data into actionable insights, driving continuous improvement, and clearly communicating conclusions in an executive manner to different stakeholders. We are not looking for a purely academic or AI research profile, but for someone who knows how to use AI as a lever to elevate analysis quality, accelerate insight generation, and improve decision-making.

Key responsibilities

• Analyze large volumes of data to identify patterns, root causes, and improvement opportunities with direct business impact.
• Generate actionable insights by connecting technical metrics with business KPIs and strategic objectives.
• Apply AI / advanced analytics techniques (predictive models, clustering, analysis automation, insight generation, etc.) with a practical, results-oriented approach.
• Drive continuous improvement by proposing hypotheses, tests, and data-driven recommendations.
• Design and create executive presentations (slides, dashboards, one-pagers) for committees and senior stakeholders, with clear, structured, and decision-oriented messaging.
• Collaborate with multidisciplinary teams (product, technology, operations, business), acting as a bridge between data and decision-making.
• Explore and propose new use cases of AI applied to data analysis, maintaining a pragmatic innovation mindset.

Profile we are looking for

• Degree in quantitative fields: Analytics, Data Science, Engineering, Mathematics, Statistics, or similar.
• Strong experience in data analysis and interpretation of business KPIs.
• Knowledge and practical experience with analytics tools (SQL, Python, Power BI / Tableau or similar).
• Interest and experience in applying AI techniques and advanced models, always with a business focus (not an academic profile).
• High ability to synthesize complex information and convert it into clear messages for non-technical audiences.
• Experience creating executive presentations and presenting conclusions to senior stakeholders.
• Continuous improvement mindset, critical thinking, and impact orientation.
• Strong communication skills, autonomy, and an end-to-end vision of data.
• Fluent in English and Spanish (C1+), with experience working in international and cross-functional environments.

Nice to have

• Experience using AI to automate analysis, generate insights, or improve analytical efficiency.
• Knowledge of cloud environments, large-scale data management, or analytical pipelines.
• Previous experience in product, operations, or business environments.
• Ability to prioritize and focus analysis on what truly drives impact.

What we offer

• A role with real impact on business decisions.
• An environment where AI is applied in a practical, not experimental, way.
• Direct participation in decision-making forums and strategic projects.
• A highly skilled team with a collaborative mindset.
• Opportunity to grow at the intersection of data, AI, and business.