At a Glance
- Tasks: Transform complex data into insights that enhance safety and performance across various industries.
- Company: Transmission Dynamics, a leader in innovative engineering solutions.
- Benefits: Competitive salary, career development, and the chance to work with cutting-edge technology.
- Other info: Dynamic role with opportunities for mentorship and leading innovative projects.
- Why this job: Make a real impact by solving engineering challenges with AI and IoT.
- Qualifications: Degree in relevant field and experience with Python and SQL.
About the Role
Due to continued business growth and an expanding portfolio of global projects, Transmission Dynamics is looking to recruit both Data Analysts and Senior Data Analysts to join our growing multidisciplinary engineering team.
Our data analysts play a vital role in transforming complex data collected from our Industrial IoT systems into meaningful insights that help customers improve safety, reliability and operational performance across industries including rail, energy, mining and heavy industry.
Working alongside mechanical engineers, software developers and electronics specialists, you’ll analyse real‑world engineering data gathered from challenging operating environments, applying advanced analytical techniques, statistical methods and Artificial Intelligence to solve complex engineering problems.
Whether you’re an experienced data professional ready to lead projects or an ambitious analyst looking to develop your career, you’ll have the opportunity to work on genuinely innovative technologies with global impact.
Key Responsibilities
Data Analyst
- Collate, clean and process large engineering datasets.
- Analyse strain, vibration, audio, image and other sensor data.
- Assist with the research and implementation of Artificial Intelligence and Machine Learning techniques.
- Work alongside engineering teams to interpret data and solve technical challenges.
- Automate analysis pipelines to enable immediate delivery of critical results to clients.
- Develop client‑facing dashboards and technical reports.
- Contribute to continuous improvement of analytical tools and processes.
Senior Data Analyst
In addition to the above, Senior Data Analysts will:
- Lead end‑to‑end analytical projects from concept through to client delivery.
- Research, develop and implement advanced AI and Machine Learning methodologies.
- Mentor and support junior members of the data team.
- Develop complex analytical methodologies and engineering simulations.
- Present findings and technical recommendations to customers and internal stakeholders.
- Help shape the future direction of our data analytics capability.
About You
We’re looking for naturally curious people who enjoy solving complex engineering challenges through data.
You’ll enjoy working with large datasets, applying analytical thinking to real‑world problems and collaborating with colleagues from a wide range of technical disciplines. Whether you’re early in your career or an experienced analyst, you’ll have a passion for continuous learning and a desire to push the boundaries of what’s possible using data and AI.
Essential Skills & Experience
Data Analyst
- Degree in Data Science, Mathematics, Physics, Computer Science, Engineering or a related discipline (or equivalent experience).
- Demonstrable experience using Python and SQL.
- Strong mathematical and statistical knowledge.
- Excellent analytical and problem‑solving skills.
- Strong written and verbal communication skills.
- Ability to present technical information clearly.
Senior Data Analyst
In addition to the above:
- Approximately five or more years’ experience within data analysis, data science or a similar analytical role.
- Demonstrable experience delivering complex analytical projects.
- Strong experience applying Artificial Intelligence and Machine Learning within commercial or industrial environments.
- Ability to lead projects and communicate complex technical concepts to a wide range of stakeholders.
- Experience mentoring or supporting less experienced colleagues.
Desirable Skills & Experience
- Experience analysing vibration, strain, acoustic or other engineering sensor data.
- Computer vision or image processing experience.
- Experience working with Industrial IoT or industrial monitoring systems.
- Mechanical engineering knowledge or experience working within engineering environments.
- Experience with software engineering tools and techniques to rapidly develop and efficiently maintain reliable software.
- Experience developing customer dashboards and technical reports. Familiarity with cloud‑based analytics platforms.
Why This Role is Different
At Transmission Dynamics, data analysis isn’t about spreadsheets and business reporting, it’s about solving real engineering challenges.
You’ll analyse data collected from advanced sensing systems operating on trains, wind turbines, escalators, rotating machinery and other critical infrastructure across the world. Working closely with our engineering teams, you’ll help develop innovative analytical techniques that improve safety, predict failures before they happen and support smarter maintenance decisions. You’ll build systems that carry out your analyses automatically and deliver them to clients to enable preventative action.
No two projects are ever quite the same, providing continual opportunities to develop your skills while working at the forefront of Industrial IoT, Artificial Intelligence and engineering analytics.
Senior Data Analysts will also have the opportunity to help shape the future direction of our analytical capability, mentoring colleagues and leading the development of next‑generation AI‑powered solutions.
What We’re Looking For
- Naturally curious.
- Analytical and logical thinkers.
- Passionate about solving complex problems.
- Collaborative and supportive team players.
- Comfortable working with large and complex datasets.
- Keen to continually learn and develop.
- Excited by Artificial Intelligence and emerging technologies.
- Motivated by making a genuine impact through data.
Salary & Benefits
Please see our Salary & Benefits section on the main Careers page for further information about our approach to remuneration, career development and employee benefits.
Engineering Data Analytics Lead — AI & IoT in Cramlington employer: Transmissiondynamics
At Transmission Dynamics, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team members enjoy the opportunity to work on cutting-edge technologies in a dynamic environment, with ample support for professional growth and development. Located in a vibrant area, we offer competitive benefits and a chance to make a meaningful impact through data analytics in various industries.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Data Analytics Lead — AI & IoT in Cramlington
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Transmissiondynamics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Engineering Data Analytics Lead — AI & IoT at Transmissiondynamics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Transmissiondynamics.
✨Apply Directly through Our Website
When you find a suitable opening like Engineering Data Analytics Lead — AI & IoT at Transmissiondynamics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Engineering Data Analytics Lead — AI & IoT in Cramlington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Transmissiondynamics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Transmissiondynamics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Transmissiondynamics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Transmissiondynamics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
