Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data and communicate insights to drive decisions across teams.
- Company: Dynamic financial solutions provider based in Greater London.
- Benefits: Hybrid working model, 25 days annual leave, and comprehensive health benefits.
- Why this job: Make a global impact while working remotely with cutting-edge data tools.
- Qualifications: Experience in SQL, Python, and data visualisation tools like Tableau.
The predicted salary is between 42000 - 84000 £ per year.
A dynamic financial solutions provider in Greater London is seeking an experienced Data Analyst to support data-driven decisions. In this role, you will leverage your expertise in SQL, Python, and data visualization tools like Tableau to analyze data and communicate insights across cross-functional teams. You will contribute to building data pipelines and developing automated reports.
The company offers a hybrid working model, 25 days of annual leave, and comprehensive health benefits.
Senior Data Analyst — Remote + Global Impact employer: Wayflyer
Contact Detail:
Wayflyer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst — Remote + Global Impact
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL queries, Python scripts, and any data visualisations you've created. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. Think about how you can relate your past experiences to the role and be ready to discuss specific projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Analyst — Remote + Global Impact
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Python, and data visualisation tools like Tableau in your application. We want to see how you've used these skills to drive data-driven decisions in your previous roles.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Data Analyst role. We love seeing candidates who take the extra step to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your insights effectively. Remember, you’ll be analysing data and communicating insights, so show us you can do that right from the start!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your application in the best light. Plus, it helps us keep everything organised!
How to prepare for a job interview at Wayflyer
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, and think about how you can demonstrate your proficiency in data visualisation tools like Tableau.
✨Showcase Your Analytical Mindset
Prepare to share examples of how you've used data to drive decisions in previous roles. Think about a time when your analysis led to a significant outcome and be ready to explain your thought process and the impact it had on the team or company.
✨Communicate Clearly
Since you'll be working with cross-functional teams, practice explaining complex data insights in simple terms. Use examples from your past experiences to illustrate how you’ve effectively communicated findings to non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their data pipeline processes or how they measure the success of data-driven decisions. This shows you're engaged and thinking critically about the position.
