Analytics Engineer in London

Analytics Engineer in London

London Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
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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 teamwork.
  • Qualifications: Strong SQL skills and experience in the credit domain are essential.
  • Other info: Open culture with excellent career growth and support for all backgrounds.

The predicted salary is between 28800 - 48000 £ 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, which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types) 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 are at the very heart of Starling and 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 what your primary responsibilities may be; 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’re able to 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, more importantly, 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, caring about the code they write, and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams, do great things here at Starling, to continue changing banking for good.

Responsibilities:

  • Translate data requirements from across the organisation into robust and reusable data models, with a particular focus 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 and we want to get the best from you, so come with questions and be curious. In general, you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - Chat with one of the team.
  • Stage 2 - Take home test.
  • Stage 3 - Technical interview with two team members.
  • Stage 4 - Final interview 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.
  • Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton.
  • 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. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

Analytics Engineer in London 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, our hybrid working model allows for flexibility while fostering a supportive culture where every voice is valued. Enjoy generous benefits, including enhanced holiday allowances, private medical insurance, and opportunities for volunteering, all while contributing to our mission of reshaping banking for the better.
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Contact Detail:

Starling Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer in London

✨Tip Number 1

Get to know Starling's values and culture before your interview. This will help you align your answers with what they care about, like innovation and collaboration. Plus, it shows you're genuinely interested in being part of their mission!

✨Tip Number 2

Prepare some thoughtful questions for your interviewers. This isn't just about them getting to know you; it's also your chance to find out if Starling is the right fit for you. Ask about their data projects or how they support team collaboration.

✨Tip Number 3

Show off your problem-solving skills during the interview. Starling loves self-starters who can think outside the box. Share examples of how you've tackled challenges in the past, especially in data-related projects.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're proactive and keen to join the Starling team.

We think you need these skills to ace Analytics Engineer in London

SQL
Data Modelling
Financial Analytics
Documentation Skills
Communication Skills
Looker
Visualisation Tools
Cross-Functional Collaboration
Attention to Detail
Self-Starter
Problem-Solving Skills
Adaptability
Experience in Credit Domain
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 using data to make a difference, especially in the banking sector. Share any relevant projects or experiences that highlight your love for analytics.

Tailor Your Application: Make sure to customise your application to fit the role of Analytics Engineer at Starling. Highlight your SQL skills and experience with visualisation tools like Looker. We appreciate when candidates take the time to align their skills with our needs!

Be Clear and Concise: Keep your application straightforward and to the point. We value strong communication skills, so make sure your documentation is clear and easy to understand. Avoid jargon unless it's necessary, and remember, we’re looking for both technical and non-technical communication skills.

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 team at Starling!

How to prepare for a job interview at Starling

✨Know Your SQL Inside Out

As an Analytics Engineer, you'll need to demonstrate strong SQL skills. Brush up on your SQL queries and be ready to discuss how you've used them in past projects. Think about specific examples where your SQL expertise made a difference in data analysis or reporting.

✨Showcase Your Problem-Solving Skills

Starling values self-starters who can think outside the box. Prepare to discuss challenges you've faced in previous roles and how you approached solving them. Highlight any innovative solutions you've implemented, especially in the credit domain.

✨Communicate Clearly with Everyone

You'll be working with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Be ready to share examples of how you've successfully communicated data insights to diverse audiences in the past.

✨Ask Thoughtful Questions

Interviews are a two-way street! Prepare some insightful questions about Starling's culture, the data team, or their approach to innovation. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Analytics Engineer in London
Starling
Location: London
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  • Analytics Engineer in London

    London
    Full-Time
    28800 - 48000 £ / year (est.)
  • S

    Starling

    250-500
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