Credit Strategy & Analytics Lead

Credit Strategy & Analytics Lead

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Raylo

At a Glance

  • Tasks: Lead data-driven projects and explore growth opportunities for existing customers.
  • Company: Raylo, a dynamic company based in London with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a team that values data quality and explainable decisions.
  • Why this job: Make a real impact using AI tools in a fast-paced, data-driven environment.
  • Qualifications: Experience in strategy or analytics and strong collaboration skills.

The predicted salary is between 63000 - 77000 £ per year.

Raylo in London is hiring for a mid-level strategy/analytics role focused on growth opportunities for existing customers.

You will lead data-driven projects, use AI tools, and collaborate with Product and Engineering on data sources and rule changes.

The role offers hybrid work with three set days in the London Bridge Office, opportunities to scale impact, and a fast-paced environment with strong emphasis on data quality and explainable decisions.

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Credit Strategy & Analytics Lead employer: Raylo

Raylo is an exceptional employer that prioritises employee growth and development, with 40% of staff receiving promotions every review cycle. Our collaborative work culture fosters innovation and data-driven decision-making, while our hybrid working model and generous benefits, including stock options and a flexible leave policy, ensure a healthy work-life balance. Located in the vibrant London Bridge area, we offer a unique opportunity to contribute to a sustainable approach in consumer electronics, making your work both meaningful and impactful.

Raylo

Contact Details:

Raylo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Credit Strategy & Analytics Lead

Get to Grips with Data Visualisation Tools

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Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Raylo!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

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We think you need these skills to ace Credit Strategy & Analytics Lead

Communication Skills
Problem-Solving Skills
Python
SQL
Automation
Attention to Detail
Data Engineering

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Raylo, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Raylo

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Raylo’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.