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Data Technician (Level 3) Apprenticeship
Data Technicians collect, process, format, and present data securely to support business decisions. They analyse and combine data from multiple sources, communicate findings, follow legal and ethical standards, and work with stakeholders across sectors while maintaining data quality, security, and awareness of emerging technologies.
About the Opportunity
We are seeking an enthusiastic and motivated apprentice to join our team, supporting colleagues to make better use of digital tools, data, and insight to improve services for Westminster's communities.
Working alongside experienced colleagues, you will develop practical skills while contributing to a range of projects and day-to-day activities. Your responsibilities will include:
- Supporting the collection, organisation, and maintenance of data to help inform decision making.
- Assisting with the creation of simple reports, dashboards, and performance information.
- Learning how digital technologies, including Artificial Intelligence (AI), can be used responsibly to improve ways of working.
- Supporting colleagues to use digital tools effectively and confidently.
- Helping to identify trends and insights from data to support service improvements.
- Assisting with monitoring the impact of projects and initiatives using data and evidence.
- Working with different teams across the organisation to understand business needs and support digital improvement activities.
- Following data protection, information governance, and ethical AI principles in all aspects of your work.
- Taking part in learning opportunities provided through the apprenticeship and Diverse Futures programme.
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
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Westminster City Hall
64 Victoria Street
London
SW1E 6QP
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
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 a 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.
- Consider 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.
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Training takes place online once a month.
Skills and Qualifications
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem-solving skills
- Administrative skills
- Analytical skills
- Logical
- Team working
- Growth mindset
About Westminster City Council
Westminster City Council believes in creating a fair environment where people are born into a supportive and safe environment, grow and learn throughout their lives, build fantastic careers in world-leading industries, have access to high-quality, affordable homes, and retire into the community with dignity and pride. We work together to adapt to the changing needs of our communities – resulting in a dynamic atmosphere where ambition, diversity, and creativity are celebrated.
Westminster City Council (opens in new tab)
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Graduates typically step into entry-level roles as Data Analysts, Reporting Analysts, or Database Technicians.
Contact Information
The contact for this apprenticeship is:
BLUE SKY ASSESSING & CONSULTANCY LTD
Bita Mofidian
bmofidian@diversefutures.com
The reference code for this apprenticeship is VAC2000043800.
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