Business Intelligence Analyst

Eaton; United Kingdom; Remote; GBP 40,000 - 65,000; Full time

Job summary

Eaton Corporation is seeking a Business Intelligence Analyst to transform complex business questions into actionable insights and data products. You will work with stakeholders, challenge assumptions, and deliver fast, iterative solutions that improve weekly outcomes.

Responsibilities include discovering business problems, preparing clean datasets, designing data models, and building MVP dashboards with Power BI or Tableau.

Qualifications

• Ability to explore, assess, analyze and transform data into clean datasets for analysis.
• Build actionable dashboards using Power BI or Tableau to drive decisions.
• Document logic, calculations, and processes so others can reuse work.
• Apply descriptive and univariate statistics to validate insights.

Responsibilities

• Turn unclear requests into clear business problems via structured discovery.
• Assess data availability and quality through exploratory analysis.
• Design data models reflecting real business logic.
• Build MVP dashboards and iterate based on user feedback.
• Communicate insights clearly to non-technical stakeholders.
• Create well-documented data products and processes.

Skills

Data analysis

Dashboarding

Documentation

Statistics

Education

Maths, Economics, Statistics or STEM majors

Tools

Power BI

Tableau

Job description

Career Opportunities: Business Intelligence Analyst (69902)

Requisition ID69902-Posted10/30/2026

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"