Finance Analytics Engineer | SQL, Looker, dbt
Finance Analytics Engineer | SQL, Looker, dbt

Finance Analytics Engineer | SQL, Looker, dbt

Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
Manchester Digital

At a Glance

  • Tasks: Translate data requirements into robust models and maintain documentation.
  • Company: Leading digital bank in Manchester with a focus on innovation.
  • Benefits: Hybrid working model, extra holiday, and private medical insurance.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a dynamic team and make an impact in the finance sector.
  • Qualifications: Strong SQL experience and ability to work within the credit domain.

The predicted salary is between 45000 - 55000 £ per year.

A leading digital bank in Manchester seeks a data-focused individual to translate data requirements into robust models. The ideal candidate will have strong SQL experience and the ability to work within the credit domain.

Responsibilities include:

  • Maintaining documentation
  • Collaborating with teams to achieve business goals

The company offers a hybrid working model and generous benefits, including extra holiday and private medical insurance.

Finance Analytics Engineer | SQL, Looker, dbt employer: Manchester Digital

As a leading digital bank in Manchester, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our hybrid working model allows for flexibility, while our generous benefits package, including extra holiday and private medical insurance, ensures our employees feel valued and supported. We are committed to employee growth, providing ample opportunities for professional development within the exciting field of finance analytics.
Manchester Digital

Contact Detail:

Manchester Digital Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Finance Analytics Engineer | SQL, Looker, dbt

✨Tip Number 1

Network like a pro! Reach out to folks in the finance and analytics space on LinkedIn. A friendly chat can open doors and give you insights into the company culture.

✨Tip Number 2

Show off your SQL skills! Prepare a mini-project or case study that highlights your ability to translate data requirements into actionable insights. This will make you stand out during interviews.

✨Tip Number 3

Practice makes perfect! Brush up on your technical skills, especially in Looker and dbt. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨Tip Number 4

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 Finance Analytics Engineer | SQL, Looker, dbt

SQL
Data Modelling
Documentation Skills
Collaboration Skills
Credit Domain Knowledge
Data Analysis
Problem-Solving Skills
Attention to Detail

Some tips for your application 🫡

Show Off Your SQL Skills: Make sure to highlight your SQL experience in your application. We want to see how you've used SQL to solve problems or create models in your previous roles. Don't be shy – this is your chance to shine!

Tailor Your Application: Take a moment to customise your application for the Finance Analytics Engineer role. We love seeing candidates who understand our needs and can demonstrate how their skills align with the job description. It shows us you’re genuinely interested!

Keep It Clear and Concise: When writing your application, clarity is key! We appreciate straightforward language that gets to the point. Avoid jargon unless it’s relevant, and make sure your passion for data comes through without overwhelming us with too much info.

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. Plus, it makes the whole process smoother for everyone involved!

How to prepare for a job interview at Manchester Digital

✨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 in detail, including specific projects where you've used it to solve problems or improve processes.

✨Familiarise Yourself with Looker and dbt

Since the role requires knowledge of Looker and dbt, take some time to understand how these tools work. If possible, try to create a small project using them to demonstrate your hands-on experience during the interview.

✨Understand the Credit Domain

Research the credit domain and its key metrics. Being able to speak knowledgeably about how data impacts credit decisions will show that you're not just a data whiz but also understand the business context.

✨Prepare for Collaboration Questions

As the role involves working with various teams, think of examples from your past experiences where you've successfully collaborated. Be ready to discuss how you maintain documentation and communicate effectively with others to achieve common goals.

Finance Analytics Engineer | SQL, Looker, dbt
Manchester Digital

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