At a Glance
- Tasks: Lead data projects, analyse complex datasets, and present insights to clients.
- Company: Join a supportive tech team with a focus on innovation and integrity.
- Benefits: Enjoy a collaborative culture, workplace pension, and electric car scheme.
- Other info: Mentorship opportunities and a dynamic learning environment await you.
- Why this job: Make an impact by unlocking value from data in exciting environments.
- Qualifications: 5+ years in data analysis, advanced Python/SQL skills, and AI/ML experience.
The predicted salary is between 36000 - 60000 € per year.
Job Title: Senior Data Analyst X 2
Job Types: Full-time, Permanent
Location: United Kingdom
About The Role
As a Senior Data Analyst, you will take a leading role within our small and effective engineering team, driving the strategy for how we analyse complex data from our global IoT applications. You will be responsible for the end-to-end delivery of data projects, from researching cutting-edge AI/ML techniques to presenting actionable insights to clients. Your expertise will be crucial in unlocking the value from data gathered in challenging environments, including from wind turbines, trains, and escalators.
Key Responsibilities
- Leading the end-to-end process of collating, processing, and analysing complex datasets, including strain, vibration, audio, and image signals.
- Owning the research, identification, and implementation of advanced Artificial Intelligence and Machine Learning solutions to enhance our analytical methods.
- Mentoring junior team members and promoting best practices in data analysis.
- Serving as a key liaison between the data team and the wider engineering team, applying complex calculations and simulations to data.
- Architecting and developing client-facing reports and dashboards to communicate findings effectively.
Skills & Experience (Essential)
- 5+ years of experience in a data analysis, data science, or a related role.
- Advanced proficiency in Python and SQL for complex data manipulation and analysis.
- A proven track record of successfully implementing AI/ML models in a commercial environment.
- Strong knowledge of statistical analysis and broad engineering principles.
- Demonstrated ability to lead projects and communicate complex technical concepts to non-technical stakeholders.
- An innate desire to achieve elegant, high-quality output in all work.
Skills & Experience (Desirable)
- Significant experience working with signal data (strain, vibration, audio) or computer vision.
- Experience in the mechanical engineering field.
- Experience mentoring or managing junior colleagues.
What We Offer
- A collaborative and supportive team culture built on honesty, humour, and integrity.
- The autonomy to lead and shape high-impact data projects.
- A learning environment where you are encouraged to push the boundaries of our technical capabilities.
- Close collaboration with a multi-disciplinary team.
- Workplace Pension Scheme.
- Electric Car Scheme.
How to Apply
Please send your CV and a short covering letter outlining your relevant experience, salary expectations, and your eligibility status to work in the UK. We welcome applications from all candidates who have the right to work in the United Kingdom. Candidates must possess the necessary work authorisation to be considered.
Please note we do not recruit from agencies, and previous applicants need not apply
Senior Data Analyst (2 roles) in Cramlington employer: Transmissiondynamics
As a Senior Data Analyst at our company, you will thrive in a collaborative and supportive team culture that values honesty, humour, and integrity. With the autonomy to lead impactful data projects and opportunities for professional growth, you will be at the forefront of innovation in analysing complex datasets from global IoT applications. Our commitment to employee development, coupled with benefits like a Workplace Pension Scheme and Electric Car Scheme, makes us an exceptional employer in the United Kingdom.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (2 roles) in Cramlington
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AI/ML techniques. We recommend using platforms like GitHub to share your code and visualisations, making it easier for potential employers to see your expertise in action.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with non-technical stakeholders. We suggest doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from candidates who are genuinely excited about joining our collaborative team culture.
We think you need these skills to ace Senior Data Analyst (2 roles) in Cramlington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with Python, SQL, and any AI/ML projects you've led. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Projects:If you've worked on interesting data projects, don’t hold back! Mention specific examples in your application that demonstrate your ability to handle complex datasets and deliver actionable insights. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Transmissiondynamics
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with, especially strain, vibration, and audio signals. Familiarise yourself with how these datasets are collected and processed, as well as any relevant AI/ML techniques that could enhance analysis.
✨Showcase Your Technical Skills
Be ready to discuss your experience with Python and SQL in detail. Prepare examples of complex data manipulation you've done in the past, and if possible, bring along a portfolio or case studies that highlight your successful implementation of AI/ML models.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Think of ways to present your findings effectively, perhaps through mock presentations or by creating sample reports and dashboards.
✨Emphasise Team Collaboration
Highlight your experience mentoring junior colleagues and working within a team. Be prepared to share specific examples of how you've fostered a collaborative environment and contributed to the success of your team in previous roles.
