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Data Analyst - IT Services. LilyLifestyle

Job in Liverpool, Merseyside, L1, England, UK
Listing for: United Cerebral Palsy of Georgia
Part Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst - IT Services. Job Lily Lifestyle Jobs
  • Data Analyst
  • 35,000
  • Liverpool OR Manchester - 2 days a week in the office

Our client in Liverpool is on the lookout for a Data Analyst who will play a vital role within both the IT Services team and the wider IT Department, supporting the delivery and maintenance of ITIL v3-aligned services.

A significant portion of the organisation's services is built on SQL and data platforms, with this role placing particular emphasis on finance and practice management systems. You will work closely with the Finance Systems Team to ensure these services are efficient, reliable, and aligned with business needs.

As the organisation continues to scale through AI and automation, the importance of high-quality data is increasing. Ensuring the structure, security, availability, and accuracy of data across the business will be a key priority.

Main duties and responsibilities:
  • Gathering data from various sources and ensuring its accuracy and consistency
  • Applying statistical techniques to extract meaningful information from the data
  • Creating visual representations of data, such as charts and graphs, to facilitate understanding
  • Developing clear and concise reports to communicate findings to stakeholders
  • Provide high-level technical guidance in initiating infrastructure-based service improvements
  • Be responsible for liaison with internal / external teams to ensure delivery of technical solutions
  • Engage with the Finance Systems Team to perform monthly financial processes for the business
The following skills and experience will be beneficial for this role:
  • Microsoft Fabric, including data factory
  • Data Lake
  • Python
  • Microsoft SQL Server, including Enterprise features, specifically availability groups
  • Power BI (Data Visualisation), designing and building interactive/dynamic dashboards
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