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.
Analista de datos employer: LinkedIn
Contact Detail:
LinkedIn 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 software that we use at StudySmarter. Being able to demonstrate your proficiency in SQL and any other relevant analytics tools during the interview will set you apart from other candidates.
✨Tip Number 2
Prepare to discuss real-world examples of how you've used data analysis to solve business problems. Think about specific projects where your insights led to actionable outcomes, as this will showcase your practical experience and analytical thinking.
✨Tip Number 3
Brush up on your data visualisation skills. We value clear communication of complex data, so being able to present your findings in an easily digestible format will be crucial. Consider creating a portfolio of visualisations to share during your interview.
✨Tip Number 4
Stay updated on industry trends and challenges related to data analytics. Showing that you understand the current landscape and can apply this knowledge to our business will demonstrate your passion for the field and your commitment to contributing to our team.
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 visualisations.
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 businesses or projects.
Highlight Educational Background: Clearly state your educational qualifications, especially if you hold a Bachelor's or Master's degree in Statistics or Applied Mathematics. This will help demonstrate that you meet the basic requirements for the role.
How to prepare for a job interview at LinkedIn
✨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 the role requires proficiency in SQL, 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 data analysis. Highlight how you approached the problem, the methods you used, and the impact your findings had on the business.
✨Visualisation is Key
Since developing clear visualisations is part of the job, bring examples of your work. Discuss how you transformed complex data into understandable visuals and the tools you used to create them.
