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For Companies At a Glance
- Tasks: Analyse credit and lending data to support risk assessment and decision-making.
- Company: Leading data-driven company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on decision-making and data quality in the financial sector.
- Qualifications: Strong SQL skills and experience in financial services are essential.
- Other info: Join a dynamic team that values collaboration and insights.
The predicted salary is between 28800 - 43200 £ per year.
A leading data-driven company in Greater London is looking for a Data Analyst to focus on analysing credit and lending data. You will support risk assessment and decision-making across digital lending platforms by creating reports and identifying trends. Ideally, you have strong SQL skills and experience in financial services, alongside excellent stakeholder engagement abilities. Join us for a role that impacts decision-making and data quality significantly.
Data Analyst, Lending & Credit Risk Insights employer: Trades Workforce Solutions
Contact Detail:
Trades Workforce Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Lending & Credit Risk Insights
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data analysis or financial services. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your SQL skills! Prepare a portfolio of projects or analyses you've done using SQL. This will not only demonstrate your technical abilities but also give you something concrete to discuss during interviews.
✨Tip Number 3
Practice your stakeholder engagement skills. Think of examples where you've successfully communicated complex data insights to non-technical audiences. This will be key in showcasing your fit for the role.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, it helps us keep track of your application better!
We think you need these skills to ace Data Analyst, Lending & Credit Risk Insights
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL skills in your application. We want to see how you can use data to drive insights, so don’t hold back on showcasing any relevant projects or experiences you've had!
Tailor Your Experience: When writing your application, tailor it to the role. Mention your experience in financial services and how it relates to credit and lending data. We love seeing how your background fits with what we do!
Engage with Stakeholders: Since stakeholder engagement is key for us, include examples of how you've successfully communicated insights or collaborated with others in your previous roles. This will show us you're a great fit for our team!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Trades Workforce Solutions
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries, as well as any specific projects where you've used it to analyse data. Practising common SQL questions can really help you stand out.
✨Understand the Lending Landscape
Familiarise yourself with the current trends in lending and credit risk. Research the company’s digital lending platforms and be ready to discuss how your insights could enhance their decision-making processes. Showing that you understand the industry will impress your interviewers.
✨Prepare for Stakeholder Engagement Questions
Since excellent stakeholder engagement is key for this role, think of examples from your past experiences where you successfully communicated complex data insights to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data analysis and business needs.
✨Showcase Your Analytical Mindset
Be ready to discuss how you approach data analysis and problem-solving. Prepare to share specific examples of how you've identified trends or made recommendations based on your findings. This will highlight your analytical mindset and your potential impact on decision-making.
