The Level 3 Data Technician Apprenticeship

The Level 3 Data Technician apprenticeship with Business Insights and Analytics, in close collaboration with employer partners, seeks a programme surpassing the Business Administrator apprenticeship. This apprenticeship equips learners to excel in data management, report accuracy, and data dashboard creation using Excel.

Wage

• £15,600 for your first year, then could increase depending on your age.
• National Minimum Wage rate for apprentices. Minimum wage rates (opens in new tab).

Training Course

• Data technician (level 3).

Hours

• Monday - Friday 9.00am - 5.00pm.
• 37 hours 30 minutes a week.

Start Date

• Friday 14 August 2026.

Duration

• 1 year 4 months.

Positions Available

What You'll Do at Work

• Provide proactive administrative and organisational support to the Directors and advisory team.
• Act as a professional first point of contact for both internal staff and external clients.
• Manage diaries, arrange meetings, and coordinate schedules across the team.
• Prepare and edit correspondence, documents, and Excel reports as required.
• Maintain accurate records and input all client communications into the CRM system.
• Ensure client data is handled, updated, and exported securely and efficiently.
• Monitor and manage email inboxes, prioritising tasks and correspondence appropriately.
• Support the business in achieving monthly revenue targets through efficient coordination and admin.
• Help manage inbound and outbound communications with prospects and clients.
• Track and follow up on tasks, meetings, and deadlines to support smooth team operations.
• Work closely with Directors to ensure the Consultant Team remains productive, well-organised, and responsive.

Where You'll Work

• 6 HALL GROVE
  MACCLESFIELD
  SK10 2HQ

What You'll Learn

Course Contents:

• Select and migrate data from already identified sources.
• Format and save datasets.
• Summarise, analyse and explain gathered data.
• Combine data sets from multiple sources and present in format appropriate to the task.
• Use tools and/or apply basic statistical methods to identify trends and patterns in data.
• Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
• Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
• Demonstrate the different ways of communicating meaning from data in line with audience requirements.
• Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
• Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
• Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
• Parse data against standard formats, and test and assess confidence in the data and its integrity.
• Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
• Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
• Follows equity, diversity and inclusion policies in the organisation for a common goal.
• Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.