Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Dive into data to uncover insights and solve business challenges.
- Company: Join a dynamic team passionate about leveraging big data for impactful decisions.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Be part of a culture that values innovation and data-driven solutions.
- Qualifications: Bachelor's or Master's in Statistics/Applied Mathematics; 1-2 years of data analysis experience required.
- Other info: Proficiency in SQL is essential for this role.
The predicted salary is between 28800 - 48000 £ 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.
Contact Detail:
Evertreen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analista de datos
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies we use at StudySmarter. Being able to demonstrate your knowledge of SQL and any other relevant software during the interview will show that you're ready to hit the ground running.
✨Tip Number 2
Prepare examples of past projects where you've successfully used data analysis to solve business problems. This will help you illustrate your analytical skills and how they can be applied to our day-to-day challenges.
✨Tip Number 3
Practice explaining complex data insights in simple terms. Since a key part of the role involves creating clear visualisations, being able to communicate your findings effectively will be crucial during the interview.
✨Tip Number 4
Stay updated on industry trends and best practices in data analysis. Showing that you're passionate about continuous learning and improvement can set you apart from other candidates.
We think you need these skills to ace Analista de datos
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly any work with SQL. Include specific projects or tasks where you used data to solve business problems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for big data and analytics. Mention how your skills align with the responsibilities outlined in the job description, such as conducting analyses and developing visualizations.
Showcase Relevant Experience: If you have experience with recurring and ad hoc analysis, be sure to include examples in your application. Describe how your insights have positively impacted previous employers or projects.
Highlight Educational Background: Clearly state your educational qualifications, especially if you hold a degree in Statistics or Applied Mathematics. If you have relevant coursework or projects, mention those to strengthen your application.
How to prepare for a job interview at Evertreen
✨Show Your Passion for Data
Make sure to express your enthusiasm for big data and analytics during the interview. Share specific examples of how you've used data to solve problems or provide insights in previous roles.
✨Demonstrate Your Analytical Skills
Prepare to discuss your experience with data analysis, particularly any recurring or ad hoc analyses you've conducted. Be ready to explain your thought process and the impact your analyses had on business decisions.
✨Visualisation is Key
Since the role involves developing clear visualisations, bring examples of your work. Discuss how you approach creating visual representations of data and how they helped convey complex information effectively.
✨Brush Up on SQL
As proficiency in SQL is a requirement, be prepared to answer technical questions or even complete a practical test. Review key SQL concepts and think of scenarios where you've used SQL to extract or manipulate data.
