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- 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. Brush up on your SQL skills, as proficiency in this area is crucial for the Data Analyst role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your abilities.
✨Tip Number 2
Understand the business context of data analysis. Research common challenges faced by companies in the education technology sector, as this will help you demonstrate your ability to apply data insights to real-world problems during interviews.
✨Tip Number 3
Prepare to discuss your previous experience with data visualisation. Be ready to share examples of how you've transformed complex data into clear, actionable insights. This will show us that you can effectively communicate findings to non-technical stakeholders.
✨Tip Number 4
Network with current or former employees of StudySmarter. Engaging with them can provide valuable insights into our company culture and expectations, which can help you tailor your approach when applying and interviewing for the Data Analyst position.
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: If possible, include a portfolio or examples of your previous work that demonstrate your ability to compile and analyse data. Visualisations you've created can be particularly impactful.
Proofread Your Application: Before submitting, carefully proofread your application materials. 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 crucial for this role, be ready to answer technical questions or even complete a practical test. Brush up on your SQL skills and be prepared to discuss your experience with data analysis tools.
✨Demonstrate Your Analytical Skills
Be prepared to discuss past projects where you conducted both recurring and ad hoc analyses. Highlight how your findings impacted business decisions and how you approached problem-solving using data.
✨Visualisation is Key
Since developing clear visualisations is part of the job, bring examples of your work that showcase your ability to convey complex data simply. Discuss the tools you used and the feedback you received from stakeholders.
