Transmission Dynamics
Wage: £15,600 a year
Training course: Data analyst (level 4)
Hours: Monday to Friday, 09:00 to 17:00.
Start date: Monday 8 June 2026
Duration: 2 years
Positions available: 1
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 £15,600 a year Minimum wage rates (opens in new tab) Training course Data analyst (level 4) Hours Monday to Friday, 09:00 to 17:00. 37 hours 30 minutes a week Start date Monday 8 June 2026 Duration 2 years Positions available 1
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.
1 Innovation WayNorthumberland Business ParkCramlingtonNE23 7FP
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Course contents Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Designimplement the stages of the data analysis lifecycleapply principles of data classification within data analysis activityanalyse data sets taking account of different data structures and database designsassess the impact on user experience and domain context on data analysis activityidentify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriateundertake customer requirements analysis and implement findings in data analytics planning and outputsidentify data sources and the risks and challenges to combination within data analysis activityapply organizational architecture requirements to data analysis activitiesapply statistical methodologies to data analysis tasksapply predictive analytics in the collation and use of datacollaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audienceuse a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in datacollate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphsselect and apply the most appropriate data tools to achieve the optimum outcomeUse data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Designimplement the stages of the data analysis lifecycleapply principles of data classification within data analysis activityanalyse data sets taking account of different data structures and database designsassess the impact on user experience and domain context on data analysis activityidentify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriateundertake customer requirements analysis and implement findings in data analytics planning and outputsidentify data sources and the risks and challenges to combination within data analysis activityapply organizational architecture requirements to data analysis activitiesapply statistical methodologies to data analysis tasksapply predictive analytics in the collation and use of datacollaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audienceuse a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in datacollate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphsselect and apply the most appropriate data tools to achieve the optimum outcome
All training to be delivered at employer premises.
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.
Communication skills IT skillsAdministrative skills Analytical skillsAttention to detailCreative Customer care skillsIniative LogicalNumeracy skillsProblem solving skills
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.
A potential full time position.
Interested in this role?