Where you'll work:

• Magdalen House
• 30 Trinity Road
• Bootle
• L20 3NJ

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider:

• QA LIMITED

Training course:

• Data Technician (Level 3)

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.

Training schedule:

• Level 3 Data Technician Apprenticeship Standard
• The training will be delivered at the workplace

Essential qualifications:

• GCSE in:
  • English (grade Grade C - above or equivalent)
  • Mathematics (grade Grade C - above or equivalent)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

Apprentice will receive on-programme support from an Apprenticeship Officer and Careers, information, advice and guidance support during the last 2-months of their apprenticeship contract. Job-seeking support is also included.

The contact for this apprenticeship is:

• Sefton Metropolitan Borough Council
• The Corporate Apprenticeship Team
• Apprenticeships@sefton.gov.uk
• +441519342448

Reference code:

• VAC2000045830