Senior Data & Insights Analyst

Role overview

Workplace and location

• Based at ScottishPower HQ in Glasgow with hybrid working.

Compensation

• Salary up to £58,000 plus up to 10% bonus.
• Benefits include single-cover private medical and other benefits.

Employment and hours

• Full-time, permanent position.
• The employer is open to discussing flexible working.

Key responsibilities

• Deliver and maintain reporting, dashboards, and analysis for Fleet and PMO decisions.
• Identify reporting needs, process gaps, and improvement opportunities by understanding Fleet operations, systems, and data flows.
• Translate operational needs into data, reporting, automation, and process-improvement solutions.
• Produce insight on compliance, utilisation, vehicle performance, orders, deliveries, maintenance, cost, risk, and exceptions.
• Review Fleet processes and systems, improve consistency, reduce manual workarounds, and strengthen end-to-end visibility.
• Support workflow automation and improve reporting and data movement between systems and teams.
• Improve data definitions, controls, documentation, and trust in reported information.
• Support integrations, pipelines, and automation with the Data Product Owner.
• Investigate and resolve data quality issues across reports, source data, and system interfaces.
• Maintain documented and controlled reporting and data assets.
• Work with Fleet, PMO, technical, governance, product, and wider stakeholders to align solutions with operational needs.
• Improve Fleet and PMO data, reporting, and governance practices and support colleagues' understanding of reporting and insight.

What the employer is looking for

• Strong Power BI experience, including dashboard development, data modelling, DAX, and Power Query.
• Experience delivering reporting, dashboards, and analysis for business stakeholders.
• Strong analytical ability and skill in turning complex data into practical insight.
• Strong Excel skills and confidence with complex reporting models and datasets.
• Experience with business processes, multiple systems or data sources, and identifying improvement opportunities.
• Experience working with large, varied, or imperfect datasets, including manual extracts, using a pragmatic but controlled approach.
• Understanding of data quality and governance and the importance of trusted data.
• Ability to identify trends, exceptions, operational risks, and performance drivers and make clear recommendations.
• Ability to work with governance, product, and technical stakeholders to support reliable reporting and stronger controls.