At a Glance
- Tasks: Analyse data from global sensors and IoT applications, implementing AI and ML techniques.
- Company: Join a dynamic team focused on innovative engineering solutions.
- Benefits: Competitive salary, company pension, and on-site parking.
- Other info: Collaborative culture with a focus on learning and personal growth.
- Why this job: Make a real impact by transforming data into valuable insights for clients.
- Qualifications: Experience in data analysis languages like Python or SQL; mechanical engineering knowledge is a plus.
The predicted salary is between 25000 - 40000 £ per year.
As part of a small and effective team of engineers, you will be responsible for collating, processing, and analysing data from a wide range of our sensors and IoT applications from across the globe. From wind turbines, trains, to escalators, our products operate in challenging environments gathering data which provide real value to our clients.
Your role will be to research, identify and implement Artificial Intelligence and Machine Learning to our data analysis methods, and to work with the engineering team to apply engineering calculations and simulations to our data, writing reports for clients and creating dashboards for client access. The majority of our data comes in the form of strain, vibration or audio signals, and images or videos, so any experience working with these including computer vision experience would be of great benefit.
You will have experience in a range of software languages for data analysis and be prepared to learn more from our team and from your own research. The main languages used are Python and SQL so prior experience of these would be ideal, but is not required if experience in other similar languages can be shown.
The team culture is one of honesty, humour, integrity, consensus and collaboration, we have few meetings but many chats, we usually eat together once a week, and you will work closely with people from all disciplines including electronic, mechanical, workshop technicians, project managers, and the administration team. A desire to learn, to constantly strive for perfection, and to achieve elegant output in your work will mean a perfect fit with us.
A good degree in a related subject may be beneficial but is not required provided you can demonstrate your competence in key areas. Experience in the mechanical engineering field would be of benefit.
You will have a good grounding in, and be able to demonstrate your capability in:
- Maths
- English
- General software understanding
- Broad engineering knowledge
- Fluency in multiple data analysis languages
The position is office based only, no remote working.
We welcome applications from candidates who have the right to work in the United Kingdom. Candidates must possess the necessary work authorization or visa to be considered for employment.
Please send your CV and a short covering letter outlining your relevant qualifications/experience, salary expectations and indicating your eligibility to work in the UK.
Please note we do not recruit from agencies so please do not contact us if you are an agency.
Job Types: Full-time, Permanent
Pay: £25,000-£40,000 per year
Benefits:
- Company pension
- On-site parking
Schedule:
- Monday to Friday
- No weekends
Experience:
- have good programming skills: 1 year (required)
Work authorisation:
- United Kingdom (required)
Work Location: In person
Reference ID: JRD-DA
Data Analyst in Cramlington employer: Transmissiondynamics
Join a dynamic and collaborative team where your role as a Data Analyst will not only involve cutting-edge data analysis but also contribute to meaningful projects that impact various industries globally. With a strong emphasis on employee growth, our culture fosters learning and innovation, complemented by weekly team lunches and a supportive environment that values integrity and humour. Located in the UK, we offer competitive salaries, a company pension, and the opportunity to work closely with diverse professionals, making this an excellent place for those seeking a rewarding career in data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Cramlington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Python, SQL, or any cool AI/ML work. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and practical tests. Practice explaining your thought process when tackling problems, as this will show your analytical skills and how you approach challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and being part of our collaborative culture.
We think you need these skills to ace Data Analyst in Cramlington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data analysis, especially in Python and SQL. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or experiences!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit for our team. Keep it concise but engaging – we love a bit of personality!
Showcase Your Learning Mindset:We value a desire to learn and grow, so mention any recent courses, certifications, or self-study you've undertaken. This shows us you're proactive and ready to dive into new challenges, especially in AI and machine learning.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at Transmissiondynamics
✨Know Your Data
Before the interview, brush up on your understanding of data analysis, especially in relation to strain, vibration, and audio signals. Familiarise yourself with how these data types are used in real-world applications, as this will show your potential employer that you’re genuinely interested in the role.
✨Showcase Your Programming Skills
Be ready to discuss your experience with programming languages like Python and SQL. If you’ve worked with similar languages, highlight those experiences and be prepared to explain how they can translate to the tools used in this role.
✨Emphasise Team Collaboration
Since the team culture values collaboration and communication, think of examples from your past where you successfully worked in a team. Share stories that demonstrate your ability to collaborate across disciplines, as this will resonate well with the interviewers.
✨Express Your Desire to Learn
Make it clear that you have a strong desire to learn and grow within the role. Discuss any relevant courses or self-study you've undertaken, especially in AI and machine learning, to show that you’re proactive about expanding your skill set.
