Analytics Engineer (Finance)

Starling

Greater London

On-site

GBP 50,000 - 75,000

Full time

14 days+

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Benefits offered by this job

25 days holiday plus public holidays
Extra day off for your birthday
Generous family-friendly policies
Private Medical Insurance
Access to wellness platform
Cycle to Work initiative

Job summary

A leading digital bank in Greater London seeks a data professional to translate data requirements into stable models while collaborating with teams. Ideal candidates will have strong SQL experience and the ability to document technical concepts for diverse audiences. This position includes a hybrid work model and offers an array of benefits, including a generous holiday policy and health insurance. Join the mission to shape the future of banking!

Qualifications

  • Strong experience with SQL.
  • Self-starter with ability to think outside the box.
  • Strong communication and documentation skills for technical and non-technical audiences.

Responsibilities

  • Translate data requirements into robust and reusable data models.
  • Maintain documentation and communicate with business stakeholders.
  • Collaborate with the data team to meet business goals.

Skills

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 skills
Experience supporting cross-functional teams

Job description

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 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. 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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