At a Glance
- Tasks: Conduct tests and analyse data for IoT hardware, sharing insights with stakeholders.
- Company: Join CHEP, a leader in supply chain logistics with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in the logistics industry.
- Why this job: Make a real impact on business decisions while working with cutting-edge IoT technology.
- Qualifications: 3+ years in data analytics, strong SQL and Excel skills, and a passion for IoT.
The predicted salary is between 35000 - 45000 £ per year.
CHEP is looking for a Hardware Field Test Engineer to perform data analysis for IoT hardware during testing. You’ll be responsible for developing and executing tests, analyzing data, and communicating insights to stakeholders.
The ideal candidate has 3+ years of experience in data analytics and excels in SQL and advanced Excel skills. A strong interest in IoT hardware and data visualization tools is essential. This role will directly impact key business decisions in supply chain logistics.
IoT Hardware Field Test & Analytics Engineer in Manchester employer: CHEP
At CHEP, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. As an IoT Hardware Field Test & Analytics Engineer, you will not only contribute to impactful projects in supply chain logistics but also benefit from our commitment to employee growth through continuous learning opportunities and a supportive culture. Located in a vibrant area, our team enjoys a balance of professional development and a fulfilling work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land IoT Hardware Field Test & Analytics Engineer in Manchester
✨Get Involved in Data Science Meetups
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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 CHEP.
✨Apply Directly through Our Website
When you find a suitable opening like IoT Hardware Field Test & Analytics Engineer at CHEP, 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 IoT Hardware Field Test & Analytics Engineer in Manchester
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 CHEP, 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 CHEP. 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 CHEP
✨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 CHEP!
✨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.