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For Companies At a Glance
- Tasks: Analyse data to support projects and enhance analytics services.
- Company: Join a leading firm focused on critical infrastructure and energy supply.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for growth.
- Why this job: Be part of a dynamic team making a real impact in the energy sector.
- Qualifications: Experience in Data Analytics, with skills in Power BI, Excel, and AI technologies.
- Other info: Work 2x a week in Portsmouth, perfect for balancing studies and work.
Hybrid - 2x per week in Portsmouth
We are representing a large company operating across Scotland and the south of England, that concentrates on the maintenance and upgrade of critical infrastructure to ensure reliable energy supply. They are looking for a Data Insights Analyst to join their dynamic team.
As the Data Insights Analyst, you will support the existing portfolio of data & analytics services, as well as work on a range of projects to develop new products. You will work with the team and the wider business to expand their self-serve capability, and identify continuous improvements to better the Data & Analytics function.
We are looking for:
- Prior experience in a Data Analytics or Insights position
- Experience with a range of technical skillset and tools - particularly Power BI & Excel
- Knowledge of AI technologies such as Machine Learning (ML)
If this sounds of interest, please apply today.
Data Insights Analyst employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst
✨Tip Number 1
Familiarise yourself with Power BI and Excel, as these are crucial tools for the Data Insights Analyst role. Consider taking online courses or tutorials to enhance your skills and demonstrate your proficiency during interviews.
✨Tip Number 2
Stay updated on the latest trends in data analytics and AI technologies, particularly Machine Learning. This knowledge will not only help you in interviews but also show your passion for the field and your commitment to continuous learning.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who work in energy or infrastructure sectors. Attend industry events or join relevant online communities to make connections that could lead to referrals or insider information about the role.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully used data analytics to drive insights or improvements. Having concrete examples ready will help you stand out during the interview process and showcase your practical experience.
We think you need these skills to ace Data Insights Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Analytics or Insights. Emphasise your proficiency with Power BI, Excel, and any AI technologies you've worked with, such as Machine Learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and how your skills align with the company's goals. Mention specific projects or experiences that demonstrate your ability to support data and analytics services.
Showcase Relevant Projects: If you have worked on any relevant projects, include them in your application. Describe your role, the tools you used, and the impact of your work on the overall project outcomes.
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 Insights Analyst role.
How to prepare for a job interview at CV-Library
✨Showcase Your Technical Skills
Make sure to highlight your experience with Power BI and Excel during the interview. Prepare specific examples of how you've used these tools in previous roles to derive insights or improve processes.
✨Demonstrate Your Understanding of AI
Since knowledge of AI technologies like Machine Learning is important for this role, be ready to discuss any relevant projects or experiences you have. This could include how you've applied ML techniques to solve problems or enhance data analysis.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work with data. Think about past challenges you've faced in data analytics and how you overcame them, as well as how you can apply those experiences to the new role.
✨Emphasise Team Collaboration
As the role involves working with a team and the wider business, be prepared to discuss your experience in collaborative environments. Share examples of how you've contributed to team projects and helped expand self-serve capabilities in previous positions.
