At a Glance
- Tasks: Transform data into impactful insights and collaborate with teams to drive business goals.
- Company: Join Starling Bank, the UK's leading digital bank on a mission to revolutionise banking.
- Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Be part of a tech-first company making banking fairer and more accessible for everyone.
- Qualifications: Strong SQL skills and experience in the credit domain are essential.
The predicted salary is between 49500 - 60500 £ per year.
About Starling Bank
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 – all at the tap of a phone, all the time.
We are about giving customers a new way to spend, save and manage their money while taking better care of the planet.
As a multi‑award winning bank, we employ over 2,800 people across five offices in London, Cardiff, Dublin, Southampton and Manchester.
Since our journey started in 2014, 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.
Hybrid Working
We have a hybrid approach to working. Our preference is that you are 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.
We 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 who are engaged and care about customers, 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 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
- 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 4× your salary & group income protection.
- Private Medical Insurance with Vitality Health 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.
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.
Equal Opportunity Employment
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.
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Analytics Engineer (Finance) employer: Starling
Starling Bank is an exceptional employer that prioritises employee well-being and professional growth, offering a vibrant work culture in Manchester. With a commitment to flexible working, comprehensive benefits, and a focus on innovation, employees are empowered to make a meaningful impact in the banking industry while enjoying a supportive and inclusive environment. Join us to be part of a forward-thinking team dedicated to doing the right thing and shaping the future of banking.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer (Finance)
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Starling.
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We think you need these skills to ace Analytics Engineer (Finance)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Starling
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
