About this role
Salary: £40,000 - 50,000 per year
Requirements: Experience in a Data Analyst, Commercial Analyst, FinOps, or similar analytical roleStrong skills in SQL, Python, Power BI, and advanced ExcelExperience analysing complex datasets and producing clear business insightsCommercial mindset with an understanding of how data impacts decision-makingTechnology industry experience is highly desirable, ideally within SaaS, cloud, MSP, or licensing environmentsExposure to vendor licensing, consumption tracking, or software asset management would be beneficialStrong communication skills with the ability to present findings and challenge assumptionsProactive approach with the ability to build processes and reporting from scratchExperience using AI/LLM tools for analysis would be advantageous Responsibilities: Analyse vendor licensing data, customer consumption, and entitlement usageMaintain accurate customer-to-licensing mappings across vendor environmentsBuild reporting models to track utilisation, forecasting, and commercial performanceIdentify licensing risks, cost-saving opportunities, and margin improvementsCreate dashboards and reports using tools such as Power BI and ExcelSupport vendor renewals with data-driven insights and analysisProvide commercial reporting to senior stakeholders across the businessImprove processes and develop new analytical frameworks from the ground up Technologies: AICloudExcelSupportLLMPower BIPythonSQL More:
We are a fast-growing technology organisation operating within the cyber resilience and managed services space. We are partnering on a newly created Data Analyst role within our commercial function, focused on vendor licensing data, consumption trends, and commercial performance across a multi-million-pound technology environment. This is a remote UK role with quarterly face-to-face meetings and a salary of £40,000 to £50,000. The role offers the opportunity to build reporting models, improve business visibility, and turn complex data into actionable insight, working closely with commercial, finance, sales, and operational teams to support smarter licensing decisions, protect margins, and improve forecasting accuracy as we continue to grow.
last updated 30 week of 2026