At a Glance
- Tasks: Lead reporting and analytics for Operations teams, designing DBT models and SQL pipelines.
- Company: A leading fintech company in Greater London with a focus on innovation.
- Benefits: Flexible working options, including remote work, and a collaborative office environment.
- Why this job: Make a real impact by providing actionable insights for operational performance.
- Qualifications: 3+ years of experience in SQL and familiarity with dashboarding tools required.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading fintech company in Greater London is seeking a Senior Data Analyst to lead reporting and analytics for Operations teams. The successful candidate will design robust DBT models and SQL pipelines, ensuring timely and actionable insights for operational performance.
With 3+ years of experience required, expertise in SQL and familiarity with dashboarding tools is essential.
The role offers flexible working, including remote options and a collaborative in-office environment.
Senior Data Analyst – MI & Operations Dashboards employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst – MI & Operations Dashboards
✨Tip Number 1
Network like a pro! Reach out to current employees at the fintech company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL projects and dashboard designs. This will help us demonstrate our expertise in a tangible way during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills match the job description perfectly.
We think you need these skills to ace Senior Data Analyst – MI & Operations Dashboards
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and any dashboarding tools you've used. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data analytics and how you can contribute to our Operations teams. Keep it engaging and personal – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for someone who can turn data into actionable insights, so let us know how you’ve done that before!
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Lendable
✨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 pipelines and how you've used them to derive insights in past roles. Practising some common SQL queries can really help you feel confident.
✨Showcase Your Dashboarding Skills
Familiarise yourself with popular dashboarding tools that are relevant to the role. Bring examples of dashboards you've created or worked on, and be ready to explain the thought process behind your designs. This will demonstrate your ability to turn data into actionable insights.
✨Understand the Company’s Operations
Research the fintech company and its operations teams. Knowing their products, services, and challenges will allow you to tailor your answers and show how your skills can directly benefit their operations. It’s all about making a connection between your experience and their needs.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of specific examples from your past work where you’ve tackled operational challenges using data analysis. This will help you illustrate your analytical thinking and how you can contribute to their team.