Analytics Engineer (Credit)

Starling Bank; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A dynamic banking institution based in Greater London is seeking a skilled Data Analyst who can translate data requirements into effective models and documentation. The ideal candidate has substantial experience with SQL and a background in the credit domain. Responsibilities include collaborating with cross-functional teams and taking ownership of projects. The role offers hybrid working and various benefits including paid volunteering hours, additional holiday options, and enhanced health coverage.

Benefits

25 days holiday plus public holidays

Birthday holiday

Annual leave purchase/sell options

16 hours paid volunteering time

Life insurance at 4x salary

Private Medical Insurance with wellness benefits

Generous family-friendly policies

Perkbox membership for discounts

Cycle to Work initiative

Salary Sacrificed Gym partnerships

Qualifications

• Experience with SQL is essential to translate data requirements into models.
• Experience in the credit domain is vital for understanding business needs.
• Attention to detail enhances data management and reporting.

Responsibilities

• Translate data requirements into robust and reusable models.
• Maintain clear documentation and communicate with stakeholders.
• Collaborate with the data team to meet business goals.
• Manage projects from start to finish.

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 and documentation skills for both technical and non-technical audiences

Experience supporting and working with cross-functional teams in a dynamic environment

Tools

Looker

dbt

Job description

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 the following 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. Hear from the team in our latest blogs or our case studies with Women in Tech.

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

• 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

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 - 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

• 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 yearSalary 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&MrsSmith 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.

When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.