Power BI & Data Insights Lead for Fleet Ops (Hybrid)

Iberdrola

Glasgow

Hybrid

GBP 35,000 - 58,000

Full time

43 hours ago
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Benefits offered by this job

Private medical insurance
Hybrid work arrangement
Pension scheme
Life Assurance

Job summary

ScottishPower, part of the Iberdrola Group, seeks a Senior Data & Insights Analyst to join the General Services (GSUK) team in Glasgow on a hybrid basis. You’ll deliver dashboards and reports that drive Fleet operations and PMO decisions, translating complex data into practical insight and enabling stronger performance management.

You’ll collaborate with stakeholders across systems, ensure data quality and governance, and support automation and data integration initiatives while developing

Qualifications

  • Strong Power BI experience with dashboard development and data modelling.
  • Ability to translate operational requirements into reporting and automation.
  • Experience delivering reporting and analysis to business stakeholders.
  • Excellent Excel skills and handling of complex datasets.

Responsibilities

  • Deliver and maintain reporting, dashboards and analytical outputs that support Fleet operations and PMO decision-making.
  • Develop understanding of Fleet processes and data flows to identify improvement opportunities.
  • Work with stakeholders to translate requirements into data, reporting and automation solutions.
  • Produce regular and ad hoc insights across Fleet themes such as performance, costs and risk.
  • Support data governance, documentation and end-to-end data visibility.

Skills

Power BI
Data modelling
DAX
Power Query
Excel
Analytics

Job description

ScottishPower, part of the Iberdrola Group, seeks a Senior Data & Insights Analyst to join the General Services (GSUK) team in Glasgow on a hybrid basis. You’ll deliver dashboards and reports that drive Fleet operations and PMO decisions, translating complex data into practical insight and enabling stronger performance management.

You’ll collaborate with stakeholders across systems, ensure data quality and governance, and support automation and data integration initiatives while developing

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