Apprentice Data Technician

North Lincolnshire Council

Scunthorpe (DN15 6NL)

Closes in 21 days (Friday 21 August 2026)

Posted on 30 July 2026

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Summary

We're looking for a motivated person to join our Performance and Intelligence Team. We'd love to hear from you if you: 

Have good communication skills, Are organised and reliable, Can use Microsoft Office applications, Enjoy working as part of a team.

Want to develop skills for your future career

 

Wage

£15,392 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 to Thursday 9 am - 5.pm Friday 9am - 4.30pm

37 hours a week

Start date

Monday 21 September 2026

Duration

2 years

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

• Organising documents and electronic files

• Updating records and databases

• Creating basic PowerBi Dashboards

• Responding to emails and enquiries

• Supporting Technical Analyst with basic coding

• Helping gather feedback from people within the service

• Working with team members on projects and campaigns

Where you'll work

Church Square House 30-40
High Street
Scunthorpe
DN15 6NL

Training

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

Training provider

BALTIC TRAINING SERVICES LIMITED

Training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

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.
  • 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

Online classroom

Requirements

Essential qualifications

GCSE in:

  • English (grade A - C or 4 + or equivalent)
  • Maths (grade A - C or 4 + or equivalent)

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

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Analytical skills
  • Team working

About this employer

North Lincolnshire Council have an aspiration to make North Lincolnshire the best place to live, work, visit and invest. We have built a strong working relationships in the pursuit of the realisation of this ambition and have delivered many successful employment and skills programmes over recent years, working hard to secure positive outcomes for our residents.

Company benefits

Staff discount 

Access to pension

Disability Confident

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

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

Gain a Level 3 qualification in Data and Business Insights 

Ask a question

The contact for this apprenticeship is:

BALTIC TRAINING SERVICES LIMITED

The reference code for this apprenticeship is VAC2000045586.

Apply now

Closes in 21 days (Friday 21 August 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.