Data Analyst

Salary: £40,000 - 50,000 per year

Requirements

• Experience in a Data Analyst, Commercial Analyst, FinOps, or similar analytical role
• Strong skills in SQL, Python, Power BI, and advanced Excel
• Experience analysing complex datasets and producing clear business insights
• Commercial mindset with an understanding of how data impacts decision-making
• Technology industry experience is highly desirable, ideally within SaaS, cloud, MSP, or licensing environments
• Exposure to vendor licensing, consumption tracking, or software asset management would be beneficial
• Strong communication skills with the ability to present findings and challenge assumptions
• Proactive approach with the ability to build processes and reporting from scratch
• Experience using AI/LLM tools for analysis would be advantageous

Responsibilities

• Analyse vendor licensing data, customer consumption, and entitlement usage
• Maintain accurate customer-to-licensing mappings across vendor environments
• Build reporting models to track utilisation, forecasting, and commercial performance
• Identify licensing risks, cost-saving opportunities, and margin improvements
• Create dashboards and reports using tools such as Power BI and Excel
• Support vendor renewals with data-driven insights and analysis
• Provide commercial reporting to senior stakeholders across the business
• Improve processes and develop new analytical frameworks from the ground up

Technologies

• AI
• Cloud
• Excel
• Support
• LLM
• Power BI
• Python
• SQL

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