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- Tasks: Analyze complex data and support technical input while communicating effectively.
- Company: Join a leading sustainability company making a real impact on climate change.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and growth opportunities.
- Why this job: Be part of a dynamic team using cutting-edge tech to drive sustainability.
- Qualifications: Degree in analytical fields or relevant data experience; strong SQL and Excel skills required.
- Other info: Assessment center involved in recruitment; diverse applicants encouraged.
Role: Data Support Analyst
Increase your chances of an interview by reading the following overview of this role before making an application.
Location: Leamington Spa (must be able to drive)
Working Model: Hybrid, 2 days/Week
Salary: Between £28-£32K
You’re smart, great with people and a fast learner.
You’re probably not quite a data nerd, but you know how to analyse complex information and explain things in an accessible way.
You’ll likely have graduated in an analytical degree such as Maths, Computer Science Biology, Chemistry or Physics, but equally you might be a Sports Science, Economics or Psychology graduate – the main thing is that you will have had to do some analytical/data work as part of your degree and will be comfortable working in a data-focused company (you’ll need a 2:1 or above). If not, relevant experience in the data analytics field is juuuust fine.
This company is one of the UK’s sustainability success stories – they’ve grown considerably and are showing no sign of slowing down, and they are looking for graduates to join them in various positions, from customer-facing account management, graduate data-consultant through to international compliance analyst positions.
They provide critical data consultancy services to some of the largest companies in the UK and beyond, and they are an important part of the climate fightback, so if you care about sustainability and climate change, you’ll be working for a company you’ll be proud of.
The main skillset you’ll need for this role is to be technically adept with datasets. That means anybody who has a strong background with SQL for data extraction and analytics, and Excel for reporting and analysis would be a good fit for this role. However, another part of your role is to support technical input and read into complex C# code in order to suggest improvements. So, if you’ve worked in an application support role or have had a role that is hands on with C#, this is crucial for your technical understanding of the software environment in which the data is used.
Another important thing is that you must possess exceptionally strong communication skills and an ability to learn and progress your skills quickly. You\’ll likely be the sort of person who excels in new situations where you have to think on your feet and uses your intelligence and intuition to solve problems and get things done (*hint* there may be an assessment centre involved as part of the recruitment process!).
The company is looking to adapt to emerging technological and cultural changes which will help them evolve into new and innovative ways of working. With that in mind, they want people in their team to have a passion for working with cutting edge technologies and have an understanding of the latest technology trends such as Machine Learning and AI.
The salary for the role is between £30-£35 + a bonus of up to 10% and other benefits, and there’s plenty of room to grow and expand into either of various pathway within the business.
If you’re curious and want to find out more please apply for a swift response or call us (google us for our number!)
We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background
Data Support Analyst employer: Rebel Recruitment Limited
Contact Detail:
Rebel Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Support Analyst
✨Tip Number 1
Make sure to brush up on your SQL skills! Since the role requires strong technical abilities with datasets, being able to demonstrate your proficiency in SQL during interviews will set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with C# code. Even if you're not a developer, having a basic understanding of how C# works and being able to discuss it will show that you're technically savvy and ready to support the team effectively.
✨Tip Number 3
Prepare for the assessment centre by practicing problem-solving scenarios. Since the company values quick thinking and adaptability, showcasing your ability to tackle challenges on the spot will be crucial.
✨Tip Number 4
Stay updated on the latest trends in Machine Learning and AI. Showing your enthusiasm for cutting-edge technologies during your conversations with the interviewers can highlight your passion for the industry and align with the company's innovative spirit.
We think you need these skills to ace Data Support Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and any relevant experience with SQL, Excel, or C#. Emphasize your educational background and any projects that demonstrate your ability to work with data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sustainability and how it aligns with the company's mission. Mention specific experiences where you've successfully analyzed complex information and communicated findings effectively.
Showcase Communication Skills: Since strong communication skills are crucial for this role, consider including examples in your application that demonstrate your ability to explain technical concepts to non-technical audiences.
Prepare for the Assessment Centre: If you get invited to an assessment centre, be ready to showcase your problem-solving abilities and adaptability. Practice common assessment tasks and think about how you can demonstrate your quick learning and technical understanding.
How to prepare for a job interview at Rebel Recruitment Limited
✨Show Your Analytical Skills
Be prepared to discuss your analytical background in detail. Highlight specific projects or coursework where you analyzed complex data, and be ready to explain your thought process in a clear and accessible way.
✨Demonstrate Technical Proficiency
Since the role requires strong SQL and Excel skills, be ready to showcase your experience with these tools. You might even want to prepare for potential technical questions or practical assessments related to data extraction and reporting.
✨Communicate Effectively
Exceptional communication skills are crucial for this position. Practice explaining technical concepts in simple terms, as you may need to convey complex information to non-technical stakeholders during the interview.
✨Express Your Passion for Sustainability
The company values sustainability and innovation. Be sure to express your interest in climate change and how you can contribute to their mission. Share any relevant experiences or initiatives that demonstrate your commitment to these values.
