Utility Warehouse

Business Data Analyst – Business Intelligence

Utility Warehouse

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Act as a strategic partner to stakeholders, translating business challenges into data-driven opportunities
  • Proactively analyse operational performance to pinpoint areas within Operations that need improvement, uncover root causes, and recommend impactful, measurable solutions
  • Transform large, complex datasets into clear insights that influence decision-making and drive business growth
  • Design, build, and maintain compelling dashboards and reports (e.g., Looker Studio) that provide real-time visibility into key metrics and trends
  • Work cross-functionally with BI Analysts, Data Engineers, and other teams to ensure data integrity, consistency, and availability
  • Present findings in a clear, compelling manner to audiences at all levels, from technical teams to senior leadership
  • Lead the development and adoption of data governance best practices, ensuring accuracy, compliance, and transparency in reporting
  • Continuously identify opportunities to automate processes, enhance reporting efficiency, and innovate in analytics delivery
  • Role is a 9-month fixed term contract, remote role based in the UK

Requirements

  • Experience of operational analysis, commercial analysis or similar
  • Demonstrable experience of identifying and developing insights that led to operational efficiency, improved productivity and/or cost reduction
  • Proven track record as a Business Data Analyst or in a similar analytical, data-driven role
  • Strong ability to proactively identify operational bottlenecks, uncover insights, and translate them into tangible business improvements
  • Advanced proficiency in data visualisation (e.g., Looker Studio) and interactive dashboard creation
  • Strong SQL skills; Python for analytics is a plus
  • Deep understanding of relational databases, data structures, and data modelling concepts
  • Skilled in Google Workspace, Excel, and complementary data analysis tools
  • Exceptional problem-solving skills with strong attention to detail and accuracy
  • Adept at simplifying complex information into clear, actionable recommendations
  • Comfortable managing multiple priorities independently in a fast-paced environment
  • Excellent stakeholder management, communication, and storytelling skills
  • Comfortable with data manipulation, processing and modelling
  • Appreciation for self-service analytics and data governance