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- Tasks: Analyse IoT data to uncover insights and trends.
- Company: Join a forward-thinking company at the forefront of IoT technology.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of an innovative team making a real impact in the tech world.
- Qualifications: Degree in Data Science or equivalent; experience in data analysis required.
- Other info: Contract position with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an Internet of Things (IoT) Data Analyst to analyse, interpret, and derive actionable insights from data collected by IoT devices.
Job Responsibilities:
- Perform exploratory data analysis (EDA) to uncover patterns and trends in IoT data.
- Undertake detailed analysis of the MI and reports available for the existing programmes.
- Undertake detailed gap analysis, reporting on trends and changes to the programme.
Experience Required:
- Educated to degree level or equivalent (e.g. Data Science).
- Previous experience of management information presentation.
- Proven experience in data analysis, preferably in IoT or related fields.
- Proficient in programming languages such as Python and SQL.
- Experience with big data tools and platforms (e.g. Hadoop/Snowflake, Spark, Azure IoT Hub, AWS IoT).
Please apply to the advert for more information.
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Internet of Things Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in IoT technology and data analysis. Being able to discuss current developments and how they relate to the role will show your passion and knowledge during any interviews.
✨Tip Number 2
Network with professionals in the IoT field through platforms like LinkedIn. Engaging with industry groups or attending relevant webinars can help you make valuable connections that might lead to job opportunities.
✨Tip Number 3
Brush up on your programming skills, especially in Python and SQL. Consider working on personal projects or contributing to open-source projects to demonstrate your proficiency and practical experience.
✨Tip Number 4
Prepare to discuss specific examples of your previous data analysis work, particularly in IoT or related fields. Having concrete cases ready will help you illustrate your problem-solving skills and analytical thinking during interviews.
We think you need these skills to ace Internet of Things Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in IoT or related fields. Emphasise your proficiency in programming languages like Python and SQL, as well as any experience with big data tools.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the IoT Data Analyst position. Mention specific projects or experiences that demonstrate your analytical skills and familiarity with IoT data.
Showcase Relevant Skills: When detailing your experience, focus on your ability to perform exploratory data analysis and gap analysis. Provide examples of how you've derived actionable insights from data in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Job Traffic
✨Showcase Your Data Analysis Skills
Be prepared to discuss your previous experience in data analysis, especially in IoT or related fields. Bring examples of projects where you performed exploratory data analysis and highlight the insights you derived.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills, particularly in Python and SQL. You might be asked to solve a problem or explain how you would approach a specific data analysis task using these languages.
✨Familiarise Yourself with Big Data Tools
Since the role involves working with big data tools like Hadoop, Spark, and cloud platforms such as Azure IoT Hub and AWS IoT, be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Prepare for Gap Analysis Questions
Understand the concept of gap analysis and be ready to explain how you would identify trends and changes in existing programmes. Think of examples where you successfully reported on such analyses in your previous roles.
