Data Business Analyst - IT Asset Management - CMDB - 12 month contract - Glasgow (Hybrid 3 days onsite)

Help turn high-volume IT asset and configuration data into clear, practical insight for a major IT Asset Management programme.

I have an immediate opportunity for a Data Business Analyst to work on a major IT Asset Management programme using ServiceNow as the strategic IT Asset Management tool and CMDB for a corporate client in central Glasgow.

What you'll focus on

• Analysing large-scale IT asset and configuration datasets to identify trends, issues and opportunities.
• Providing clear analysis and insight to the leadership team to inform decisions.
• Supporting the migration of data from multiple legacy systems into new IT Asset Management and CMDB solutions.
• Using Python to enhance analysis, automate repeatable tasks and improve data handling.

Key responsibilities

• Explore and profile data from diverse systems and applications to assess data quality and completeness.
• Investigate data quality issues (including data quality-related IT asset problems) and propose practical remediation approaches.
• Work with IT Asset Management and CMDB stakeholders to understand data requirements and translate them into data analysis tasks.
• Structure and prepare datasets to support adoption of the ServiceNow-based IT Asset Management and CMDB solutions.
• Work closely with fellow data analysts to share findings, standardise approaches and support broader programme goals.
• Produce clear documentation and summaries of analysis, methods and findings for technical and non-technical audiences.

What we're looking for

• Strong experience working with large-volume datasets in a business or IT context.
• Proven background as a Data Analyst, Data Engineer or similar data-focused role.
• Practical Python skills for analysis, data manipulation and automation.
• Experience of IT asset data (e.g. hardware, software, infrastructure), CMDB, ServiceNow, or similar technical datasets.
• Confidence working with data quality issues and remediation activities.
• Ability to turn complex data into clear, understandable insight for non-technical stakeholders.
• Comfortable working as part of a data-focused team on a major implementation or change programme.
• Structured, methodical approach with strong attention to detail.

Interested? Apply now for immediate consideration!