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- Tasks: Analyse data trends and support digital transformation in commercial lending.
- Company: Dynamic financial services company based in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and drive innovation in AI-driven analytics.
- Qualifications: Strong analytical skills and experience with SQL, Power BI, and agile methodologies.
- Other info: Collaborative environment with a focus on career development.
The predicted salary is between 36000 - 60000 £ per year.
A financial services company in Greater London is looking for a Business Analyst/Data Analyst specializing in Commercial Corporate Lending. This role requires strong analytical skills and experience in AI-driven analytics to support digital transformation.
Responsibilities include:
- Collaborating with teams
- Leading product implementations
- Analyzing data for trends and opportunities
Familiarity with tools like SQL, Power BI, and agile methodologies is essential. Candidates should have excellent communication and stakeholder management skills.
AI-Driven Lending Analytics & Business Analyst employer: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Lending Analytics & Business Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working with AI-driven analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving SQL and Power BI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on agile methodologies and stakeholder management. We recommend practising common interview questions and scenarios related to digital transformation in lending.
✨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 are proactive about their job search.
We think you need these skills to ace AI-Driven Lending Analytics & Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI-driven analytics and commercial corporate lending. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools like SQL and Power BI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about digital transformation in financial services. We love seeing candidates who can communicate their vision and how they can contribute to our team.
Showcase Your Analytical Skills: In your application, give examples of how you've used data analysis to drive decisions or identify trends. We’re looking for those strong analytical skills, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Net2Source (N2S)
✨Know Your Analytics Tools
Make sure you brush up on your SQL and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to AI-driven analytics. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Collaboration Skills
Since the role involves collaborating with various teams, prepare examples of how you've successfully worked with others in previous roles. Highlight any experience leading product implementations or working in agile environments, as this will demonstrate your ability to thrive in a team setting.
✨Prepare for Data Analysis Questions
Expect questions that test your analytical thinking and problem-solving skills. Be prepared to discuss how you've identified trends and opportunities from data in the past. Practising with real-world scenarios can help you articulate your thought process clearly during the interview.
✨Master Your Communication Skills
Excellent communication is key in this role, so practice explaining complex data insights in simple terms. Think about how you would present your findings to stakeholders who may not have a technical background. This will showcase your ability to bridge the gap between data and decision-making.
