Data Technician Apprentice
THE SPECIALIST ELECTRICAL GROUP LTD
HERTFORD (SG13 7BJ)
Closes in 27 days (Thursday 2 October 2025 at 11:59pm)
Posted on 2 September 2025
Contents
Summary
To assist SEGplc in collecting, organising, analysing, and presenting data from multiple sources, using both technical and business platforms, while learning the full range of skills required for a competent Level 3 Data Technician.
- Wage
-
£20,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, 8.00am - 5.00pm
45 hours a week
- Start date
-
Friday 10 October 2025
- Duration
-
1 year 6 months
- Positions available
-
2
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
To assist SEGplc in collecting, organising, analysing, and presenting data from multiple sources, using both technical and business platforms, while learning the full range of skills required for a competent Level 3 Data Technician. The apprentice will gain hands-on experience in working with company systems such as Excel Mondays, Simpro, and other business portals, alongside industry-standard tools for data handling and reporting.
Key Duties & Responsibilities:
Data Collection & Migration:
- Source, migrate, and collect data from trusted sources, including internal business systems, cloud platforms, and client portals
- Retrieve and input data from Excel Mondays reports, Simpro job management system, and other operational platforms
Data Preparation & Cleaning:
- Format, clean, and validate datasets to ensure accuracy and usability
- Merge and reconcile data from multiple systems such as CRM, ERP, and project management tools
Reporting & Analysis:
- Use Excel, Power BI, and other analytics tools to create dashboards and reports for management and project teams
- Generate weekly and monthly performance reports, including automated outputs from Excel Mondays and Simpro
Systems Integration:
- Assist in linking data across business portals, ensuring consistency and accuracy between platforms
- Support the integration of field data from mobile apps into centralised databases
Testing & Quality Assurance:
- Perform checks to verify data integrity and completeness
- Identify and report anomalies, errors, or missing data for resolution
Documentation & Record-Keeping:
- Maintain clear technical documentation of processes, datasets, and reporting outputs
- Log changes and updates to ensure traceability
Health, Safety & Data Security:
- Comply with all company policies, including GDPR and data protection requirements
- Follow cybersecurity protocols to safeguard sensitive business and client information
Training & Development:
- Participate in off-the-job training for the Level 3 Data Technician apprenticeship
- Engage in internal training for Excel Mondays, Simpro, and other business platforms
Skills & Knowledge to Develop:
- Advanced use of Microsoft Excel, including pivot tables, formulas, macros, and data visualisation
- Practical use of Simpro for project/job tracking, scheduling, and reporting, will be provided
- Competence in working with business portals for CRM, inventory, and financial reporting
- Understanding of structured and unstructured data types
- Ability to merge and manipulate datasets for analysis
- Knowledge of data security and governance requirements
Entry Requirements:
- GCSEs in English and maths at Grade 4/C or above (or equivalent).
- Interest in IT, data analysis, and business systems
- Willingness to learn multiple software platforms
Where you'll work
7 THE MEAD BUSINESS CENTRE
MEAD LANE
HERTFORD
SG13 7BJ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
JUST IT TRAINING 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
- An apprenticeship includes regular training with a college or other training organisation
- At least 20% of your working hours will be spent training or studying
- Data Technician level 3 Apprenticeship Standard
- You will also receive full training and support from the Just IT Apprenticeship team to increase your skills
Requirements
Essential qualifications
GCSE in:
- English (grade 4/C and above)
- Math (grade 4/C and 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
- Analytical skills
- Logical
- Team working
- Initiative
- Non judgemental
- Patience
About this employer
The Specialist Electrical Group Ltd When choosing an electrician, it’s essential that you can trust the professional visiting your home or business. As a premier provider of electrical services across London and the Home Counties, we’re committed to maintaining our reputable status. We are continually and independently inspected by NICEIC and uphold a standard of excellence through our City and Guilds qualified electricians.
After this apprenticeship
Progression Opportunities:
- Data Technician / Data Analyst roles
- Systems or Business Intelligence specialist positions
- Level 4 Data Analyst or related higher apprenticeships
Ask a question
The contact for this apprenticeship is:
JUST IT TRAINING LIMITED
The reference code for this apprenticeship is VAC1000340021.
Apply now
Closes in 27 days (Thursday 2 October 2025 at 11:59pm)
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