Business Intelligence Analyst

Eaton Corporation; United Kingdom; À distance; GBP 32 000 - 52 000; Plein temps

Résumé du poste

Eaton Group in the United Kingdom seeks a data-focused analyst to turn complex business questions into practical insights. You will work directly with stakeholders, challenge assumptions, and build fast, iterative solutions that improve decision-making week by week.

Responsibilities include exploratory analysis, cleaning and modeling data, designing dashboards with Power BI or Tableau, and communicating findings to non-technical teams.

Qualifications

• 2 years of experience in data analysis or analytics.
• Strong foundation in maths, economics, statistics or similar STEM field.
• Ability to translate unclear requests into clear business problems via structured discovery.

Responsabilités

• Turn unclear requests into clear business problems through structured discovery.
• Assess data availability and transform raw data into clean datasets for analysis.
• Design data models reflecting business logic, not just technical structure.
• Build MVP dashboards early and iterate based on user feedback.
• Communicate insights clearly to non-technical stakeholders.
• Create well-documented data products and processes for reuse.
• Collaborate in a remote environment and support teammates to improve outcomes.
• Identify opportunities to automate processes beyond dashboards.

Connaissances

Data analysis

Dashboard creation

Data structuring

Descriptive statistics

Remote collaboration

Formation

Quantitative degree (Maths/Economics/Statistics or STEM)

Outils

Power BI

Tableau

Description du poste

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.