Data Technician Apprentice

THE MARLOWE TRUST

KENT (CT1 2AS)

Closes in 22 days (Sunday 24 May 2026)

Posted on 1 May 2026


Summary

We are recruiting a full-time Data Technician Apprentice at the Marlowe Theatre to support the data processing, analytical reviews and KPI reporting.

Training course
Data technician (level 3)
Hours
The Marlowe Theatre’s performances happen mostly in the evenings and at weekends. To deliver the best service to our customers, all of our posts, whether frontline, strategic, planning or support roles, require some evening and weekend working

37 hours a week

Start date

Monday 29 June 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

  • As instructed, support the Data Analyst & Revenues Manager, process, analyse and interpret sales, audience and business data to support the Marlowe Theatre’s Business Plan.
  • To collate KPI data as required to support the business plan.
  • To work closely with the Marketing and Communications teams to maximise the use of data-driven marketing campaigns.
  • Develop effective working relationships both internally and externally.
  • Ensure that you, the team, and contractors work in a safe and legal way to comply with regulatory and legislative requirements.
  • To drive your own career and skills development, making the most of the opportunities made available to you.
  • To live and represent the Marlowe Theatre’s values. 

Where you'll work

THE MARLOWE THEATRE
THE FRIARS
CANTERBURY
KENT
CT1 2AS

Training

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

Training provider

THE WEST MIDLANDS CREATIVE ALLIANCE 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

The Data Technician Apprentice will complete a Level 3 qualification over two years, developing core data handling skills. This includes sourcing, cleaning, migrating, analysing and securely presenting data using appropriate tools and legal methods. Learning will consist of 7 hours of off‑the‑job training per week, consisting of seminars, practical projects, and 1‑to‑1 sessions through our apprenticeship provider Creative Alliance.

Requirements

Desirable qualifications

GCSE in:

English & Maths (grade 4)

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
  • Number skills
  • Analytical skills
  • Team working

Other requirements

GCSEs at Level 4 or above in Maths and English are preferred, otherwise a Level 2 Numeracy and Literacy must be completed during the apprenticeship.

Shortlisted applicants will be required to complete an eligibility check phone call with Creative Alliance. Please note your contact details will be shared with them to arrange this, and your application cannot proceed without completing this call.

About this employer

The Marlowe Theatre, Canterbury is one of the UK’s most successful large-scale regional theatres (UK Theatre of the Year in the Stage Awards 2022). Our mission is to be the engine house for the performing arts in Kent, shaping the spirit of our region.

We bring West End musicals, national companies, a symphony orchestra season and high-profile tours to Kent audiences, in a year-round programme of theatre, dance, opera, music and comedy in our 1,200-seat Main House. Last year we began producing large-scale plays made in Kent and touring nationally. Our 150-seat Studio is dedicated to the development of new ideas, with a mix of R&D with resident and visiting companies, sharings and presented shows.

Our ground-breaking work with young people focuses on skills development and includes co-delivery of a UAL Level 3 Performing Arts course with East Kent Colleges Group; being the national home of Matthew Bourne’s New Adventures’ Cygnet School and the RSC’s Associate Theatre in the Southeast. Our Writers’ Room develops regional talent and supports our producing aspirations. As the largest performing arts employer in the region, we are committed to developing the workforce of the future, providing apprenticeships and work experience opportunities for over 100 young people every year across all areas of theatre-making.

We are also fast outgrowing our spaces and developing major capital projects as a result, including turning the 800-year-old Poor Priests’ Hospital within the city walls into a Creative Learning Centre and free heritage destination, with support from Levelling Up and the National Lottery Heritage Fund. We are also looking towards the long-term development of our theatre building, increasing our technical and producing capacity.

Our investment in our loyalty strategy has ensured that we have consistently strong and engaged audiences for our varied programme. We’ve also received recognition from our industry, winning a Stage Award for our innovative approach to supporting the theatre sector and a Workforce Award from UK Theatre for our investment in our People Plan, ensuring our high calibre team are rewarded and supported.

We are a Creative Green organisation and are committed to taking action on climate change and environmental sustainability.

The Marlowe Theatre is an inclusive employer. We value difference and recruit by merit based on fair and open competition.

We welcome candidates from all backgrounds regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes them unique. We want to hear from all sectors including veterans.

https://marlowetheatre.com/about/jobs/ (opens in new tab)

Company benefits

We are a Real Living Wage Employer.

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

  • Data Technician.
  • Junior Data Analyst.
  • Data Support Analyst.
  • Junior Information Analyst.

Ask a question

The contact for this apprenticeship is:

THE MARLOWE TRUST

George Mitchell

george.mitchell@marlowetheatre.com

01227 935299

The reference code for this apprenticeship is VAC2000027585.

Apply now

Closes in 22 days (Sunday 24 May 2026)

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