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- Tasks: Conduct competitive analysis and ensure data quality for financial services.
- Company: Dynamic financial services company based in Greater London.
- Benefits: Full-time remote work with competitive benefits and career growth.
- Why this job: Make a real impact on how businesses choose financial products.
- Qualifications: Degree in a relevant field and skills in SQL and Tableau.
The predicted salary is between 36000 - 60000 £ per year.
A financial services company in Greater London is looking for a Data Research Analyst to support their editorial team. You will perform competitive analysis, ensure data quality, and manage projects within the Finserv division.
The ideal candidate should have a degree in a relevant field and strong skills in data analytics tools like SQL and Tableau.
The role includes remote work and a full-time contract with competitive benefits. Join us to make a significant impact on how businesses choose financial products.
Data Research Analyst - Loans & FinServ Analytics (Remote) employer: Forbes Advisor
Contact Detail:
Forbes Advisor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Research Analyst - Loans & FinServ Analytics (Remote)
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially those using SQL and Tableau. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by researching the company and its competitors. Knowing their position in the market will help you stand out and show you're genuinely interested in the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Research Analyst - Loans & FinServ Analytics (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience and skills, especially in data analytics tools like SQL and Tableau. We want to see how your background aligns with the role of a Data Research Analyst.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about financial services and how you can contribute to our editorial team. Keep it engaging and personal.
Showcase Your Analytical Skills: In your application, don’t forget to mention specific projects or experiences where you've demonstrated your analytical skills. We love seeing real examples of how you've tackled data challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Forbes Advisor
✨Know Your Data Tools
Make sure you brush up on your SQL and Tableau skills before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analytics.
✨Understand the Financial Landscape
Familiarise yourself with current trends in the financial services sector. Being able to discuss recent developments or challenges in FinServ will demonstrate your genuine interest in the industry and your ability to contribute meaningfully.
✨Prepare for Project Management Questions
Since the role involves managing projects, think of examples from your past experiences where you successfully led a project. Be ready to explain your approach to ensuring data quality and how you handled any challenges that arose.
✨Showcase Your Competitive Analysis Skills
Be prepared to talk about how you conduct competitive analysis. Bring examples of how your insights have influenced decision-making in previous roles, as this will highlight your analytical thinking and strategic mindset.
