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Data Analyst (Business Intelligence) – UK Sales Organisation
Location: Eaton Slough, UK
The Slough site is a key hub for our UK business, integrating the UK Sales Organisation alongside regional and corporate teams. In a fast-paced, collaborative environment, key roles align to drive industry-leading solutions in Lighting, Fire, Security, Power Quality, Power Distribution, and Industrial Controls, serving diverse industry sectors.
About the Role
Our team translates complex business challenges into practical, scalable solutions that stakeholders actively use. Success here depends on:
- Turning ambiguous questions into clear business problems through structured discovery.
- Assessing and improving data quality—transforming raw datasets into reliable tools for reporting and decision-making.
- Designing intuitive data models aligned with real business priorities, not undue technical complexity.
- Developing Minimum Viable Product (MVP) dashboards and refining them in short sprints based on user feedback.
- Communicating insights effectively to non-technical teams with actionable clarity.
- Ensuring reuse through well-documented processes and products.
- Collaborating to solve problems collectively—hoarding expertise isn’t encouraged; sharing knowledge drives impact.
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This is an opportunity for curious problem-solvers who dislike busywork and prioritise meaningful outcomes.
Key Responsibilities
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Discovery: Partner with stakeholders to articulate well-defined business problems through disciplined questioning and structured analysis.
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Data Preparation: Evaluate data sources and clean、structure degraded datasets for trustworthy integrity.
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Model Design: Craft data models that mirror actual business operations—not just technical architecture.
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Iterative Development: Build MVP dashboards and refine them cyclically based on real-time user feedback.
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Storytelling: Translate complex insights into clear, digestible reports for decision-makers without deep technical backgrounds.
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Ownership: Develop code, processes, and documentation that empower others to trust and reuse your work.
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Collaboration: foster a cultural norm of shared problem-solving, mentorship, and team growth.
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Process Automation: Continuously seek Chancen to streamline workflows through scalable solutions that extend beyond dashboards.
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Requirements & Qualifications
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Relevant Degree: Maths, Economics, Statistics, or equivalent STEM discipline.
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Technical Skills: Familiarity with math-related coding, including:
- Python
- R
- SAS
- MATLAB
- SQL (fundamental to most tasks)
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Soft Skills: (none explicitly demanded, but implied essentials highlight team culture)
- Moderate interpersonal collaboration—ability to ask critical questions.
- Intellectual curiosity over blind adherence—to code pipeline for process’s sake.
What We Offer
Eaton’s commitment to you includes:
- Competitive Compensacion y beneficios—targeted recognition for expertise and impact.
- Dynamic Team: Thriving collective with cross-team projects and open problem-solving.
Your Growth Matters
- Internal Promotion): Eaton prioritises advancing talent when practical.
- Career Investment: Long-term commitment supported by Eaton University—interactive learning opportunities beyond dollars.
#LI-JG1 (Notes: Human-centric values with no job position.-ame tu salario is competitive, etc.)
Eaton Slough anchors the wider UK business infrastructure.
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