Marketing Data Analysis Apprentice

Marketing Data Analysis Apprentice

An opportunity for a Marketing Data Analysis Apprentice based in Central Reading, with hybrid options post-probation. The apprentice will enrol on a Level 3 programme with progression opportunities. The role supports digital marketing, reporting, analytics, and optimisation.

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

What you'll do at work

• Resolve 404 errors and ensure correct redirections
• Maintain consistent UTM parameters
• Review and update open-source package pages
• Monitor Core Web Vitals and report findings
• Track competitor updates and support fortnightly reporting
• Prepare initial drafts of online performance reports
• Complete delegated tasks from the Marketing Lead

Where you'll work

3RD FLOOR
DAVIDSON HOUSE
THE FORBURY
READING
RG1 3EU

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

Training provider
QA 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.