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- Tasks: Design dashboards and deliver insightful analysis across teams.
- Company: High-growth consumer finance company in Greater London.
- Benefits: Real ownership, progression opportunities, and supportive culture.
- Why this job: Make an impact with data while working closely with senior stakeholders.
- Qualifications: Strong SQL skills and experience in financial services.
- Other info: Join a diverse team and thrive in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth consumer finance company in Greater London seeks a skilled data analyst to join their commercial data function. This diverse role involves designing dashboards, delivering ad hoc analysis across teams, and ensuring high-quality data processes.
The ideal candidate will have strong SQL skills and financial services experience, with opportunities for real ownership and progression from day one. This role promises visibility with senior stakeholders in a supportive culture.
Data Analyst: End-to-End Credit, Pricing & Insights in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: End-to-End Credit, Pricing & Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data analysis sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects or any dashboards you've designed. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practising your responses will help you feel more confident and ready to impress those senior stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and helps us get to know you better.
We think you need these skills to ace Data Analyst: End-to-End Credit, Pricing & Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and any relevant experience in financial services. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how you can contribute to our commercial data function. Keep it engaging and personal.
Showcase Your Analytical Skills: In your application, include examples of how you've designed dashboards or delivered ad hoc analysis in previous roles. We love seeing real-world applications of your skills, so make it count!
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 Harnham
✨Know Your SQL Inside Out
Since the role requires strong SQL skills, make sure you brush up on your SQL knowledge. Be prepared to discuss your experience with SQL queries and how you've used them in past projects. Practising common SQL problems can also help you feel more confident.
✨Showcase Your Financial Services Experience
Highlight any relevant experience you have in financial services during the interview. Be ready to share specific examples of how you've applied data analysis in this sector, as it will demonstrate your understanding of the industry and its challenges.
✨Prepare for Dashboard Design Questions
As designing dashboards is a key part of the role, think about the tools you've used and the design principles you follow. Be prepared to discuss how you approach dashboard design, including user experience and data visualisation techniques.
✨Engage with Senior Stakeholders
This position promises visibility with senior stakeholders, so be ready to discuss how you've effectively communicated insights to non-technical audiences in the past. Show that you can translate complex data into actionable insights that drive decision-making.
