Senior Data Analyst, MI & Operations Insights (Hybrid)
Senior Data Analyst, MI & Operations Insights (Hybrid)

Senior Data Analyst, MI & Operations Insights (Hybrid)

Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Create impactful reports and analytics to drive operations success.
  • Company: Leading fintech company in London with a focus on innovation.
  • Benefits: Flexible working options, competitive salary, and top-notch compensation package.
  • Why this job: Join a dynamic team and make a real difference in the fintech space.
  • Qualifications: 3+ years in analytics with strong SQL and Python skills.
  • Other info: Hybrid work model with opportunities for professional growth.

The predicted salary is between 43200 - 72000 Β£ per year.

A leading fintech company in London is seeking a hands-on Senior Data Analyst to develop and deliver reporting and analytics across operations teams. This role involves designing robust data models and dashboards to track key performance indicators, ensuring data accuracy and integrity.

Candidates should have over 3 years of experience in analytics, with expert-level SQL and Python skills. The position offers flexible working options, including the ability to work from home twice a week, and a best-in-class compensation package.

Senior Data Analyst, MI & Operations Insights (Hybrid) employer: Lendable Ltd

As a leading fintech company based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. Our Senior Data Analyst role not only offers competitive compensation and flexible working arrangements, including the option to work from home twice a week, but also provides ample opportunities for professional development in a fast-paced environment where your contributions directly impact our operations and success.
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Contact Detail:

Lendable Ltd Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Data Analyst, MI & Operations Insights (Hybrid)

✨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 best data models and dashboards. This will help us demonstrate our expertise in SQL and Python during interviews.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on common data analysis scenarios. We can even do mock interviews with friends to build confidence.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.

We think you need these skills to ace Senior Data Analyst, MI & Operations Insights (Hybrid)

Data Analysis
SQL
Python
Data Modelling
Dashboard Design
Key Performance Indicators (KPIs)
Data Accuracy
Data Integrity
Analytical Skills
Reporting
Operations Insights
Experience in Analytics

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience in analytics, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our operations teams. Keep it engaging and personal – we love to see your personality!

Showcase Your Data Skills: Since this role involves designing dashboards and data models, consider including examples of your work. If you have links to any dashboards or reports you've created, share them with us to demonstrate your expertise!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!

How to prepare for a job interview at Lendable Ltd

✨Know Your Data Tools Inside Out

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to create data models or dashboards. This will show that you’re not just familiar with the tools, but that you can apply them effectively in real-world scenarios.

✨Showcase Your Analytical Mindset

Prepare to talk about how you approach problem-solving in analytics. Think of examples where you've identified key performance indicators and how your insights led to operational improvements. This will demonstrate your hands-on experience and analytical thinking, which are crucial for this role.

✨Understand the Company’s Operations

Do some homework on the fintech company and its operations teams. Familiarise yourself with their products and services, and think about how your role as a Senior Data Analyst could impact their success. This knowledge will help you tailor your answers and show genuine interest in the company.

✨Prepare Questions That Matter

At the end of the interview, you’ll likely have the chance to ask questions. Prepare thoughtful questions about the team dynamics, the tools they use, or how they measure success in the role. This shows that you’re engaged and serious about contributing to their operations.

Senior Data Analyst, MI & Operations Insights (Hybrid)
Lendable Ltd

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