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- Tasks: Transform data into actionable insights and automate reporting workflows.
- Company: Leading measurement company in the UK with a remote-first culture.
- Benefits: Competitive salary, remote work, and opportunities for continuous learning.
- Why this job: Join a dynamic team and make a real impact with your analytical skills.
- Qualifications: Experience in SQL and Excel, plus a quantitative degree.
The predicted salary is between 55000 - 65000 £ per year.
A leading measurement company in the UK is seeking a versatile Data Analyst to transform data into actionable insights. The ideal candidate will have experience in SQL and Excel, along with a quantitative degree.
Responsibilities include:
- Automating reporting workflows
- Client communication
This role offers an annual salary of £55,000 - £65,000, with a remote-first work environment. Join a dynamic team that values continuous learning and collaboration.
Insight-Driven Data Analyst — Remote-First employer: Adelaide
Contact Detail:
Adelaide Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight-Driven Data Analyst — Remote-First
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving SQL and Excel. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common data analysis questions and scenarios. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Insight-Driven Data Analyst — Remote-First
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Excel, as these are key skills for the role. We want to see how your background aligns with the responsibilities of transforming data into actionable insights.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for data analysis and how you can contribute to our dynamic team. Share specific examples of how you've automated reporting workflows or improved client communication in the past.
Showcase Your Quantitative Skills: Since a quantitative degree is preferred, don’t forget to mention relevant coursework or projects that demonstrate your analytical abilities. We love seeing how you’ve applied your knowledge in real-world scenarios!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Adelaide
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and maybe even tackle a few practical questions or exercises. This will show that you're not just familiar with the language but can also apply it effectively.
✨Excel is Your Best Friend
Since Excel is a key tool for this role, practice using advanced functions and features. Be ready to explain how you've automated reporting workflows in the past. If you can share specific examples of how your Excel skills have led to actionable insights, you'll definitely impress the interviewers.
✨Showcase Your Analytical Mindset
Prepare to discuss how you approach data analysis and problem-solving. Think of examples where your insights have made a real impact. This role is all about transforming data into actionable insights, so demonstrating your analytical mindset will be crucial.
✨Emphasise Communication Skills
Since client communication is part of the job, be ready to talk about how you’ve effectively communicated complex data findings to non-technical stakeholders. Practice explaining your past projects in simple terms, as this will highlight your ability to bridge the gap between data and decision-making.
