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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 working 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.
Data Analyst employer: Evertreen
Contact Detail:
Evertreen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies we use at StudySmarter. Being proficient in SQL is a must, so brush up on your skills and consider working on projects that showcase your ability to analyse data effectively.
✨Tip Number 2
Understand our business model and the challenges we face. Research common issues in the education technology sector and think about how data analysis can provide solutions. This will help you demonstrate your understanding during interviews.
✨Tip Number 3
Prepare to discuss your previous data analysis experiences in detail. Be ready to explain how you approached specific problems, the methodologies you used, and the impact of your findings on the business outcomes.
✨Tip Number 4
Develop your visualisation skills. Being able to present complex data in an easily digestible format is crucial for this role. Consider creating a portfolio of visualisations that highlight your analytical capabilities and creativity.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly any projects where you've used SQL. Emphasise your educational background in Statistics or Applied Mathematics, and include any relevant coursework or certifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for big data and analytics. Discuss specific examples of how you've used data to solve business problems and how you can contribute to the company's goals.
Showcase Your Analytical Skills: When detailing your previous work experience, focus on your analytical skills. Provide examples of recurring and ad hoc analyses you've conducted, and mention any visualisation tools you've used to present your findings.
Proofread Your Application: Before submitting your application, carefully proofread all documents. Ensure there are no typos or grammatical errors, as attention to detail is crucial in data analysis roles.
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.
✨Prepare for Technical Questions
Since proficiency in SQL is a key requirement, be ready to answer technical questions related to SQL queries and data manipulation. Brush up on common SQL functions and be prepared to demonstrate your skills.
✨Demonstrate Your Analytical Skills
Be prepared to discuss past projects where you conducted data analysis. Highlight your approach to understanding business issues and how your analyses led to actionable insights.
✨Visualisation Matters
Since developing clear visualisations is part of the role, bring examples of your work. Discuss how you choose the right visualisation techniques to convey complex data simply and effectively.
