Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse big data to provide valuable insights and solve business challenges.
- Company: Dynamic company focused on leveraging data for impactful decisions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with plenty of learning opportunities.
- Why this job: Join a team where your data skills can drive real change in the business.
- Qualifications: Degree in Statistics or Applied Mathematics, or equivalent experience.
The predicted salary is between 30000 - 40000 £ per year.
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.
Responsibilities
- Understand the day-to-day issues that our business faces, which can be better understood with data
- Compile and analyze data related to business' issues
- Develop clear visualizations to convey complicated data in a straightforward fashion
Qualifications
- Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
Data Analyst in Sunbury-on-Thames employer: NES Fircroft
Contact Detail:
NES Fircroft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Sunbury-on-Thames
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on a job opening.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you've tackled business issues with data.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your analytical methods and how you visualise data to make it digestible for business users.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to find your application.
We think you need these skills to ace Data Analyst in Sunbury-on-Thames
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for big data and analytics. Share any personal projects or experiences that highlight your love for data and how it can drive business insights.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs for a Data Analyst.
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that convey your points effectively.
Visualisation Skills Matter: If you have experience creating visualisations, mention it! Include examples of how you've used visual tools to simplify complex data. This will show us that you can communicate insights clearly, which is crucial for the role.
How to prepare for a job interview at NES Fircroft
✨Know Your Data
Before the interview, brush up on your knowledge of data analysis techniques and tools. Be prepared to discuss specific projects where you've used data to solve business problems, as this will show your passion for big data and analytics.
✨Visualisation Skills Matter
Since the role involves developing clear visualisations, practice explaining complex data in simple terms. Bring examples of your work that showcase your ability to create effective visualisations, as this will demonstrate your capability to convey complicated data straightforwardly.
✨Understand the Business
Research the company and its industry to understand the day-to-day issues they face. This will help you tailor your answers to show how your analytical skills can directly benefit their business, making you a more attractive candidate.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data challenges and how they currently use analytics. This not only shows your interest in the role but also gives you a chance to demonstrate your analytical mindset and how you can contribute to solving their issues.