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- Tasks: Analyse IoT data to uncover insights and trends, performing detailed gap analysis.
- Company: Join a forward-thinking company at the forefront of digital transformation.
- Benefits: Enjoy flexible working options and access to cutting-edge technology.
- Why this job: Be part of a dynamic team making a real impact in the IoT space.
- Qualifications: Experience in data analysis, especially with IoT; proficiency in Python and SQL required.
- Other info: This is a permanent role with opportunities for growth and development.
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.
- 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.
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).
Consultant - Digital Transformation (Permanent) employer: Impellam Group
Contact Detail:
Impellam Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant - Digital Transformation (Permanent)
✨Tip Number 1
Familiarise yourself with the latest trends in IoT and data analysis. Follow industry leaders on social media and read relevant blogs to stay updated. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the IoT and data analysis fields. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about job opportunities. Personal connections can often lead to referrals.
✨Tip Number 3
Showcase your technical skills by working on personal projects or contributing to open-source initiatives. Having a portfolio of your work, especially using Python and SQL, can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common data analysis problems and scenarios related to IoT. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence before the interview.
We think you need these skills to ace Consultant - Digital Transformation (Permanent)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 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 passionate about digital transformation and how your skills align with the role. Mention specific projects or experiences that demonstrate your ability to analyse IoT data and derive actionable insights.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the tools you used, and the outcomes of your analyses. This will help illustrate your hands-on experience in the field.
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 Impellam Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, especially in relation to IoT data analysis.
✨Demonstrate Your Analytical Thinking
Prepare to explain your approach to exploratory data analysis (EDA). Discuss how you've uncovered patterns and trends in previous roles, and be ready to provide examples of actionable insights you've derived from data.
✨Familiarise Yourself with Big Data Tools
Since experience with big data tools is crucial for this role, brush up on platforms like Hadoop, Spark, and Azure IoT Hub. Be ready to discuss how you've used these tools in past projects or how you would apply them in this position.
✨Understand the Business Context
Research the company’s existing programmes and their objectives. Being able to discuss how your analysis can contribute to their goals will show that you're not just technically skilled but also understand the bigger picture.
