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- Tasks: Analyse IoT data to uncover insights and trends for impactful decision-making.
- 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 driving innovation in the IoT space.
- Qualifications: Experience in data analysis, especially with IoT, and proficiency in Python and SQL required.
- Other info: Contract position ideal for tech-savvy individuals eager to make a difference.
The predicted salary is between 43200 - 72000 £ 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 employer: Impellam Group
Contact Detail:
Impellam Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant - Digital Transformation
✨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
Build a portfolio showcasing your data analysis projects, especially those related to IoT. Highlight your use of programming languages like Python and SQL, as well as any big data tools you've worked with. This will demonstrate your practical skills to potential employers.
✨Tip Number 3
Network with professionals in the IoT and data analysis fields. Attend industry events, webinars, or local meetups to connect with others. These connections can lead to job opportunities and valuable insights about the role.
✨Tip Number 4
Prepare for technical interviews by practising common data analysis problems and scenarios specific to IoT. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace Consultant - Digital Transformation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly in IoT or related fields. Include specific projects where you used Python and SQL, as well as any big data tools you've worked with.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about digital transformation and how your skills align with the role. Mention your experience with exploratory data analysis and gap analysis to demonstrate your fit for the position.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight any insights you derived from IoT data and the impact of your analysis.
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 uncover patterns and trends in data, and be ready to provide examples of how your insights have led to actionable outcomes in previous roles.
✨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 your experience with these tools and how they can be applied to IoT data analysis.
✨Prepare for Gap Analysis Questions
Expect questions about gap analysis and reporting on trends. Think of instances where you've identified gaps in data or processes and how you communicated those findings to stakeholders. This will demonstrate your ability to contribute to programme improvements.
