Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Dive into big data to uncover insights and solve business challenges.
- Company: Join a forward-thinking company that values data-driven decisions.
- Benefits: Competitive salary, flexible hours, and opportunities for growth.
- Other info: Collaborative team environment with a focus on innovation.
- Why this job: Make an impact by transforming complex data into clear visual stories.
- Qualifications: Degree in Statistics or Applied Mathematics and 1-2 years of data analysis experience.
The predicted salary is between 28000 - 38000 £ 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.
- 1 - 2 years' Data Analysis experience.
- Proficient in SQL.
Data Analyst in Sunbury employer: NES Fircroft
Contact Detail:
NES Fircroft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Sunbury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use clear visualisations to demonstrate how you can turn complex data into actionable insights – just like we do at StudySmarter!
✨Tip Number 3
Prepare for interviews by brushing up on your SQL skills and understanding common data challenges businesses face. We recommend practising with real-world scenarios to show you can tackle those day-to-day issues.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst in Sunbury
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for big data and analytics shine through. We want to see how your passion aligns with our mission at StudySmarter, so share any relevant experiences or projects that highlight your love for data.
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst role. We appreciate candidates who take the time to connect their skills and experiences directly to the responsibilities mentioned in the job description. It shows us you’re genuinely interested!
Be Clear and Concise: When compiling your application, clarity is key! Use straightforward language and avoid jargon where possible. We want to easily understand your qualifications and how you can help us tackle our business challenges with data.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for both you and us.
How to prepare for a job interview at NES Fircroft
✨Know Your Data
Before the interview, brush up on your data analysis skills. Be prepared to discuss specific projects where you've used SQL to solve business problems. Having concrete examples will show your passion for big data and how you can apply it to real-world issues.
✨Visualisation is Key
Since the role involves developing clear visualisations, practice explaining complex data in simple terms. Bring along examples of your work or create a portfolio that showcases your ability to turn data into understandable insights. This will demonstrate your capability to convey complicated information effectively.
✨Understand the Business
Research the company and its industry. Understand the day-to-day challenges they face and think about how data analysis can provide solutions. This knowledge will help you tailor your answers and show that you're not just a data whiz, but also someone who understands the business context.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the types of data challenges the team is currently facing or how they measure success in their analytics efforts. This shows your genuine interest in the role and helps you assess if it's the right fit for you.