Business Intelligence Analyst

Eaton; España; Remote; EUR 35,000 - 55,000; Full time

Job summary

Eaton seeks a data analyst to collaborate with stakeholders and turn unclear requests into actionable insights. You will assess data quality, design models, and build dashboards that drive business decisions.

The role emphasizes iterative development, clear communication, and reusable data products in a remote-friendly team. Ideal candidates have a STEM background and at least two years of analytics experience, with proficiency in Power BI or Tableau.

Qualifications

• Maths, Economics, Statistics or other STEM subjects are preferred major fields.
• 2 years of experience in data analytics.

Responsibilities

• Turn unclear requests into clear business problems through structured discovery and thoughtful questioning.
• Assess data availability and quality and transform raw data into clean, trusted datasets for reporting.
• Design data models that reflect real business logic and build MVP dashboards for quick iterations.
• Communicate insights clearly to non-technical stakeholders and document data products for reuse.

Skills

Data analysis

Dashboard design

Data cleaning

Education

STEM degree (Maths, Economics, Statistics or related)

Tools

Power BI

Tableau

Job description

What You’ll Do

Our team turns complex business questions into actionable insights and products that the business actually uses. You will work directly with stakeholders, challenge assumptions, and build fast, iterative solutions that improve week by week. If you value curiosity over certainty and real impact over busywork, you will thrive here.

What You’ll Do

Our team turns complex business questions into actionable insights and products that the business actually uses. You will work directly with stakeholders, challenge assumptions, and build fast, iterative solutions that improve week by week. If you value curiosity over certainty and real impact over busywork, you will thrive here.

\"- Work with stakeholders to turn unclear requests into clear business problems through structured discovery and thoughtful questioning.

• Assess data availability and quality through exploratory analysis, then transform raw data into clean, trusted datasets ready for reporting.
• Design data models that reflect real business logic, not just technical structure.
• Build MVP dashboards early and iterate them in short cycles based on real user feedback.
• Communicate insights clearly and present outcomes to non-technical stakeholders.
• Create well-documented data products and processes so others can understand, trust, and reuse your work.
• Actively contribute to the team: share knowledge, support others, and build on each other’s ideas to solve problems better together.
• Identify opportunities to automate processes and build scalable solutions beyond dashboards.\"

Qualifications

Maths, Economics, Statistics or other STEM subjects are preferred major fields.

2 years

Skills

\"- Ability to explore, assess, analyze and transform data: identifying patterns, inconsistencies, and limitations, and preparing clean datasets for analysis.

• Ability to build actionable dashboards using data visualization tools (e.g, Power BI, Tableau): highlighting the metrics driving decisions and removing unnecessary complexity from the dashboard.
• Ability to structure work as reusable products: documenting logic, calculations, and processes so others can build on your work.
• Working knowledge of descriptive and univariate statistics to explore data, validate insights, and support decision-making.

\"- Collaborate in a remote work environment: shares knowledge, asks questions, builds on ideas, and supports teammates to achieve better outcomes together.

• Takes ownership, communicates clearly, and moves development work forward through small iterative steps.
• Curious and thoughtful: asks the right questions, challenges assumptions, and looks for the real problem behind the initial request.