Data Analyst Apprenticeship
SECURE POWER LTD
Sheffield (S13 9LU)
Closes in 29 days (Wednesday 1 October 2025)
Posted on 1 September 2025
Contents
Summary
As a Data Analyst, you will play a key role in supporting Secure Power with administrative tasks, Operations data analysis, maintaining supplier relations, determining cost-saving solutions, and much, much more.
- Wage
-
£17,500 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday, 8:30am till 4pm.
37 hours 30 minutes a week
- Start date
-
Monday 6 October 2025
- 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
- Operational Data Analysis & Reporting Review and report on engineers’ trackers and timesheets.
- Participate in product and technical training to develop industry knowledge.
- Identifying discrepancies, cost-saving opportunities, and resource/time efficiencies.
- Track and report on purchase and sales orders, including volume, turnaround times, and frequently ordered products.
- Cost & Supplier Management -Analyse purchasing data to identify and report on cost-saving opportunities and alternative suppliers.
- Maintain and develop strong supplier relationships.
- Systems & Inventory Management Update and manage the CRM system, ensuring accurate and timely information.
- Manage business inventory (tools, hardware, etc.), monitoring longevity and supporting budget forecasting.
Where you'll work
21 Orgreave Place
Sheffield
S13 9LU
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
Full training will be delivered by your workplace and Baltic Apprenticeships.
More training information
This apprenticeship provides the skills, qualifications and experience you need to immerse yourself within an exciting, fast-moving industry and become an efficient Data Analyst!
Requirements
Essential qualifications
GCSE in:
- English (grade 4)
- 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
- Attention to detail
- Organisation skills
- Customer care skills
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Team working
About this employer
Are you ready to kickstart your career as a Data Analyst? Secure Power, an industry leading company in Uninterruptible Power Supply solutions, is offering the opportunity to join their expert team as an apprentice. With over a decade’s experience, Secure Power delivers reliable, future-proof backup power solutions tailored to every business’s ideas. Prided on their focus on innovation, customer satisfaction, and technical excellence, Secure Power has built an extensive portfolio of leading UPS brands, and has assisted thousands of customised power solutions, through various sectors including healthcare, logistics, education, and the public domain.
Company benefits
20 days annual leave plus bank holidays. Extra holidays accrued after 5 years. Christmas shutdown after probation. Wellness day. Smart casual dress code. Fun office environment. Private medical care once passed probation.
After this apprenticeship
Possible career progression within the business upon completion of the apprenticeship.
Ask a question
The contact for this apprenticeship is:
BALTIC TRAINING SERVICES LIMITED
Lauren Morton
lauren.morton@balticapprenticeships.com
The reference code for this apprenticeship is VAC1000339659.
Apply now
Closes in 29 days (Wednesday 1 October 2025)
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After signing in, you’ll apply for this apprenticeship on the company's website.