Data Analyst Apprentice
Transmission Dynamics
Cramlington (NE23 7FP)
Closes in 6 days (Friday 30 January 2026 at 11:59pm)
Posted on 15 December 2025
Contents
Summary
As a Data Analyst apprentice, you will join our small and effective team of engineers, playing a key role in making sense of complex data from our IoT sensors across the globe. You will work on exciting projects involving wind turbines, trains, and escalators, helping to provide real value to our clients through data.
- Wage
-
£14,722.50 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 09:00 to 17:00.
37 hours 30 minutes a week
- Start date
-
Monday 9 February 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
- Collating, cleaning, and processing large datasets from sensors, primarily strain, vibration, audio, and image signals.
- Assisting in the research and implementation of Artificial Intelligence and Machine Learning models.
- Working with the engineering team to apply calculations and simulations to data.
- Creating and maintaining data dashboards for client access and writing technical reports.
- Collaborating closely with mechanical engineers, project managers, and workshop technicians.
Where you'll work
1 Innovation Way
Northumberland Business Park
Cramlington
NE23 7FP
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CITY OF SUNDERLAND COLLEGE
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
All training to be delivered at employer premises.
Requirements
Essential qualifications
GCSE or equivalent in:
- English (grade 4-9)
- Maths (grade 4-9)
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
- Administrative skills
- Analytical skills
- Attention to detail
- Creative
- Customer care skills
- Iniative
- Logical
- Numeracy skills
- Problem solving skills
About this employer
We are an independent, privately owned consultancy established in 1996, delivering world-leading Industrial Internet of Things (IIoT) based solutions to complex industrial challenges, drawing on our extensive expertise to create Smart Sensor Networks. We design and manufacture our own range of wireless telemetry and data acquisition systems, focusing on machine learning, low power consumption, exceptionally low noise and unbeatable performance, for recovering in-service load information from the most demanding of environments. Our products and services are delivered to customers and partners around the world, including blue-chip technology companies from renewable energy, mining, marine, defence, automotive and rail sectors. Our team of engineers are trained to provide rapid and professional assistance working with customers across the globe, possessing outstanding capabilities and expertise for a large range of industrial drive systems. We were awarded the 2017 Innovation Award at the North East Business Awards, in recognition of our ground-breaking research and development which informs our industry-leading products and services. Our People who possess outstanding capabilities are well motivated and rewarded, encouraged and supported to develop with a clear sense of direction and willingness to embrace the Company ethos.
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
A potential full time position.
Ask a question
The contact for this apprenticeship is:
CITY OF SUNDERLAND COLLEGE
The reference code for this apprenticeship is VAC2000004838.
Apply now
Closes in 6 days (Friday 30 January 2026 at 11:59pm)