About the Role

The successful candidate will receive structured training through Baltic Apprenticeships. This includes two-day training blocks every 4-6 weeks, alongside continuous workplace learning and mentoring, allowing the apprentice to build both technical knowledge and practical experience while developing their career in Data.

Wage

£15,392 to £24,454.04, depending on your age

Training Course

Data technician (level 3)

Hours

37 hour working week

Start Date

Wednesday 2 September 2026

Duration

1 year 3 months

Positions Available

1

What You'll Do

• Assisting colleagues with day-to-day data management tasks
• Extracting and processing data for operational stakeholders using a variety of tools, following data quality requirements.
• Analysing data sources to identify discrepancies, patterns and trends.
• Assisting colleagues to identify root causes of data quality issues and to work with stakeholders to resolve them.
• Assisting with data literacy training e.g. testing new e-learning materials

Where You'll Work

Unit 4040, Lakeside
Solihull Parkway, Birmingham Business Park
Birmingham
B37 7YN

What You'll Learn

• 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.