Business Intelligence Analyst

Eaton Corporation; Slough; Remote; GBP 42,000 - 62,000; Full time

Job summary

Eaton Group is seeking a data analyst to partner with stakeholders and translate complex questions into actionable insights and products used by the business. You will build MVP dashboards, design data models, and automate processes, iterating quickly based on user feedback.

This role emphasizes curiosity, collaboration in a remote-enabled environment, and creating trusted datasets for reporting. Two years of relevant experience is preferred.

Qualifications

• Background in maths, economics, statistics or related STEM fields.
• 2 years of experience in data analysis or analytics.
• Ability to turn data into clean datasets for reporting.
• Experience building dashboards and data models.

Responsibilities

• Turn unclear requests into clear business problems through structured discovery.
• Assess data availability and quality, transform data into clean datasets.
• Design data models that reflect business logic.
• Build MVP dashboards and iterate from user feedback.
• Communicate insights clearly to non-technical stakeholders.
• Create well-documented data products and processes for reuse.
• Contribute to the team and share knowledge, and support others.
• Identify opportunities to automate processes beyond dashboards.

Skills

Ability to explore, assess, analyze

Dashboard proficiency

Reusable data products

Descriptive statistics

Remote collaboration

Ownership & communication

Curiosity & problem-finding

Education

maths, economics, statistics or other STEM subjects

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.

• 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.