Data Analyst

Data Analyst

Key information: Full-time - 37.5 hours per week - Monday to Friday, 9am - 5pm- fully office based in Solihull.

Are you passionate about data and tech with a talent for solving problems? We are looking for a proactive Data and IT Analyst to join our client in Solihull on a permanent basis. You will play a key part in ensuring IT systems run smoothly and data delivers real value to the business.

This is a varied role that combines IT support, systems management, and data analysis, ideal for someone hands-on with tech and who enjoys working across departments.

Key Duties for the role of Data Analyst include:

• Support the smooth day-to-day running of business technology systems
• Analyse data and present to management teams
• Liaise with external IT suppliers and manage IT equipment
• Troubleshoot hardware/software issues (Windows PCs, laptops, printers, mobile devices)
• Manage user accounts during onboarding/offboarding processes
• Maintain and improve internal systems
• Clean, transform, and analyse data to support decision-making
• Collaborate on the design and delivery of new software solutions
• Provide system training and technical support across the business

Essential Skills & Experience required to be considered for the role of Data Analyst:

• Minimum 2 years' experience in data analysis or IT support
• Strong analytical thinking, attention to detail, and problem-solving skills
• Solid knowledge of computer systems, hardware/software, and network troubleshooting
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
• Ability to work independently and take initiative

Technical and Systems Skills required for the role of Data Analyst:

• Microsoft Office proficiency (especially Excel - intermediate to advanced)
• Familiarity with Power BI and CRM systems
• IT qualification or equivalent hands-on experience

Desirable skills for the role of Data Analyst:

• Experience with Prospect Soft (CRM) or Pegasus Opera (ERP)
• Basic SQL knowledge
• Background in the manufacturing industry
• HND or degree in Computer Science, Data Analytics, or Information Systems

If this role is of interest, please apply or contact Kirsty Chan on . Should your application be unsuccessful, your CV will be kept on file for future vacancies.