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Insight Analyst

Ref code: AUW99110868
Technology,
£50k - 55k per year
Birmingham, West Midlands, England
Permanent
Hybrid Working

Insights Analyst

We're working with a major UK business operating one of the country's largest commercial fleets, and they're looking for an Operational Insight Analyst to help make sense of the data that keeps it moving.

This isn't a back-office reporting role. It's for someone who enjoys digging into data, spotting trends, and turning findings into real operational improvements, whether that's reducing vehicle downtime, improving data quality, or surfacing issues before they become problems.

What you'll be doing

Working with operations and fleet managers to track performance, compliance, and vehicle uptime across a national fleet.

Auditing data from multiple systems, identifying errors or inconsistencies, and leading improvements in data quality.

Producing regular reports and dashboards (mainly Excel, with opportunities to shape Power BI reporting longer term).

Turning data into stories, highlighting what's driving change and explaining the "why" behind the numbers.

Supporting wider operational initiatives by bringing structure, insight, and clarity to decision-making.

What you'll bring

Strong Excel analysis and reporting skills, Confident handling large datasets, pivot tables, lookups, and data validation. However, SQL, Python and Reporting (BI) tools are also welcomed for this role.

A naturally curious mindset - someone who enjoys investigating data to uncover what's really going on.

Experience in fleet, logistics, or transport environments would be a big advantage (understanding downtime, utilisation, and vehicle data). Not a necessity however.

A solid grasp of data quality principles, and how to build trust in reporting.

Clear communication skills, comfortable explaining findings to non-technical teams.

Why join

Work within a national, complex operation where your insights have tangible impact on performance and service delivery.

Join a collaborative and forward-looking team, building structure and consistency in how data is used day-to-day.

Real autonomy freedom to shape reporting, improve processes, and take ownership of your work.

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