Apprentice Data Analyst (Level 3)

OFFICE OF POLICE AND CRIME COMMISSIONER FOR HUMBERSIDE

Cottingham (HU16 5SN)

Closes in 15 days (Wednesday 10 September 2025)

Posted on 26 August 2025

Print

Contents

Summary

You will support the implementation of a new multi-agency process to identify young people in Humberside at risk of being drawn into crime, ensuring they receive appropriate support. You will be learning on the job, getting hands-on experience. This is a great first role working with data and a chance to impact the future for young people.

Wage

£14,526.20 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Check minimum wage rates (opens in new tab)

Training course
Data Technician (level 3)
Hours
Monday to Thursday 9am - 5pm Friday 9am - 4.30pm.

37 hours a week

Start date

Monday 1 December 2025

Duration

1 year 1 month

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

  • Collecting and processing data from a range of sources

  • Cleansing and enriching data prior to analysis

  • Mapping and documenting data flows

  • Matching (linking) records between sources, using algorithms, tools and your professional judgement

  • Identifying potential inconsistencies and data quality issues and bringing these to the data owners’ attention

  • Preparing reports, summaries and data visualisations to help others work with the data and understand trends

  • Supporting regular multi-agency triage and panel processes by providing them with data in an agreed format, helping them to make decisions

Where you'll work

The Lawns, Harland Way
Cottingham
HU16 5SN

Training

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

Training provider

THE APPRENTICE ACADEMY 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

  • You will spend at least 20% of your working hours training or studying on a Level 3 Data Technician apprenticeship, delivered by the Apprenticeship Academy.
  • The rest of the time, you will be based in our offices in Cottingham, East Yorkshire.
  • You will be managed by our Data and Analysis Manager, who will provide you with both challenging projects and support in your role with us.

More training information

  • You will attend live online learning sessions every 2 weeks, facilitated by a data specialist from the Apprenticeship Academy
  • You will be assigned a personal coach from the Apprenticeship Academy who will be a data specialist. You will have a 1:1 with them every 4 weeks on MS Teams
  • You will need to spend 3 - 4 hours a week completing learning activities set by your trainers and coaches. This will need to be completed during working hours, in line with apprenticeship rules.

Requirements

Essential qualifications

GCSE in:

  • English Language (grade 4 or above)
  • Mathematics (grade 4 or above)

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
  • Customer care skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative
  • Non judgemental
  • Patience

Other requirements

You will be subject to Humberside Police vetting procedures.

About this employer

This role is hosted by the OPCC on behalf of the Humber Violence Prevention Partnership (VPP), a Home Office-funded Violence Reduction Unit (VRU). Launched in 2022, the Humber Violence Prevention Partnership (VPP) exists to lead and co-ordinate the local response to preventing and reducing Serious Violence through a public health approach. It is one of 20 Home Office-funded Violence Reduction Units across England and Wales.

http://www.humbervpp.org (opens in new tab)

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

  • Further HE/FE Study
  • Progression into data related, criminology or policing career

Ask a question

The contact for this apprenticeship is:

OFFICE OF POLICE AND CRIME COMMISSIONER FOR HUMBERSIDE

Ian Robertson

ian.robertson.9281@humberside.police.uk

The reference code for this apprenticeship is VAC1000338732.

Apply now

Closes in 15 days (Wednesday 10 September 2025)

Sign in with your GOV.UK One Login to apply.

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