Analytics Engineer (Finance) in Manchester
Analytics Engineer (Finance)

Analytics Engineer (Finance) in Manchester

Manchester Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Transform data into impactful insights and collaborate with diverse teams.
  • Company: Join Starling, the UK's leading digital bank on a mission to revolutionise banking.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
  • Why this job: Be part of a tech-first company that values innovation and collaboration.
  • Qualifications: Strong SQL skills and experience in the credit domain are essential.
  • Other info: Dynamic environment with opportunities for personal and professional growth.

The predicted salary is between 36000 - 60000 £ per year.

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet. Our journey started in 2014, and since then we have surpassed 3.5 million accounts with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech-first company, enabling our platform to deliver brilliant products.

Our technologists enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of your primary responsibilities. Innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture; you will find support in your team and from across the business.

The way to thrive and shine within Starling is to be a self-driven individual and take full ownership of everything around you: from building things, designing, discovering, to sharing knowledge with your colleagues and ensuring all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you’re located within a commutable distance of one of our offices so that we can interact and collaborate in person.

Our Data Environment

Our Data teams are aligned to divisions covering Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and our customers. We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, the code they write, and the contribution they make to Starling.

Responsibilities:

  • Translate data requirements from across the organisation into robust and reusable data models, focusing on financial regulatory submissions or financial analytics.
  • Maintain consistent and clear documentation and communicate with business stakeholders (both technical and non-technical).
  • Collaborate with the wider data team to help meet the business goals, including peer reviews.
  • Take ownership of a project end-to-end and manage priorities accordingly.

Requirements:

  • Strong experience with SQL.
  • Experience working within the credit domain.
  • Self-starter with the ability to think outside the box.
  • Good attention to detail.
  • Strong experience with Looker or a similar visualisation tool.
  • Strong communication and documentation skills for both technical and non-technical audiences.
  • Experience supporting and working with cross-functional teams in a dynamic environment.

Desirable Requirements:

  • Strong experience with dbt or a desire to learn.

Interview Process:

Interviewing is a two-way process, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational, so come with questions and be curious. In general, you can expect the following stages:

  • Stage 1 - 30 mins with one of the team.
  • Stage 2 - Take home test.
  • Stage 3 - 60 mins technical interview with two team members.
  • Stage 4 - 45 min final with an executive and a member of the people team.

Benefits:

  • 25 days holiday (plus take your public holiday allowance whenever works best for you).
  • An extra day’s holiday for your birthday.
  • Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off.
  • 16 hours paid volunteering time a year.
  • Salary sacrifice, company enhanced pension scheme.
  • Life insurance at 4x your salary & group income protection.
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care.
  • Generous family-friendly policies.
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks.
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships, and Electric Vehicle (EV) leasing.

About Us:

You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we’re always open to discussion. So, if you’re excited about working with us, but aren’t sure if you’re 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace.

Analytics Engineer (Finance) in Manchester employer: Starling

Starling Bank is an exceptional employer that champions innovation and collaboration in a fast-paced fintech environment. With a strong commitment to employee growth, we offer generous benefits including 25 days of holiday, enhanced family-friendly policies, and opportunities for volunteering, all while fostering a supportive and inclusive culture. Located across multiple UK offices, our hybrid working model ensures flexibility and encourages teamwork, making Starling a rewarding place to build your career.
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Contact Detail:

Starling Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer (Finance) in Manchester

✨Tip Number 1

Get to know Starling's values! When you’re prepping for your interview, think about how you can demonstrate that you embody their principles like 'Own It' and 'Aim For Greatness'. This will show them you’re not just a fit for the role, but for the company culture too.

✨Tip Number 2

Don’t just sit back and wait for the interview to happen. Reach out to current employees on LinkedIn or through our website to get insights about the team and the work environment. This can give you a leg up in understanding what they value and how you can contribute.

✨Tip Number 3

Prepare some thoughtful questions for your interviewers. This isn’t just about them assessing you; it’s your chance to see if Starling is the right place for you. Ask about their data projects or how they foster collaboration within teams.

✨Tip Number 4

Finally, don’t forget to showcase your passion for fintech and innovation. Share examples of how you’ve tackled challenges in previous roles or how you’ve contributed to projects. This will help you stand out as a self-starter who’s ready to make an impact at Starling!

We think you need these skills to ace Analytics Engineer (Finance) in Manchester

SQL
Data Modelling
Financial Analytics
Documentation Skills
Communication Skills
Looker
Cross-Functional Collaboration
Attention to Detail
Project Management
Self-Starter
Problem-Solving Skills
Adaptability
Experience in Credit Domain
Desire to Learn dbt

Some tips for your application 🫡

Show Your Passion for Data: When you're writing your application, let your enthusiasm for data shine through! We want to see how much you care about analytics and how it can transform banking. Share any personal projects or experiences that highlight your love for data.

Tailor Your Application: Make sure to customise your application to fit the role of Analytics Engineer at Starling. Highlight your SQL skills and experience in the credit domain, and don’t forget to mention any tools like Looker that you’ve used. We love seeing how your background aligns with our needs!

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. Remember, we appreciate good communication skills, so make sure your documentation is easy to read and understand for both technical and non-technical audiences.

Apply Through Our Website: We encourage you to apply directly through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our mission to reshape banking.

How to prepare for a job interview at Starling

✨Know Your Data Inside Out

As an Analytics Engineer, you'll be dealing with data models and financial analytics. Make sure you brush up on SQL and any relevant tools like Looker or dbt. Be ready to discuss your past projects and how you've translated data requirements into actionable insights.

✨Communicate Clearly

Starling values strong communication skills, especially when it comes to explaining complex data concepts to non-technical stakeholders. Practice articulating your thoughts clearly and concisely, and prepare examples of how you've successfully communicated in previous roles.

✨Show Your Ownership Mindset

The role requires a self-starter who can take ownership of projects. Be prepared to share instances where you've led a project from start to finish, highlighting how you managed priorities and collaborated with cross-functional teams to achieve results.

✨Ask Thoughtful Questions

Interviews at Starling are conversational, so come armed with questions that show your curiosity about the company and its mission. Ask about their approach to innovation, team dynamics, or how they support professional development. This not only shows your interest but also helps you gauge if it's the right fit for you.

Analytics Engineer (Finance) in Manchester
Starling
Location: Manchester
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