Data Analyst (Customer)

Starling Bank; Manchester; Hybrid; GBP 30,000 - 50,000; Full time

Job summary

A leading digital bank in the UK is seeking talented data professionals in Manchester to enhance their data capabilities. The role involves creating reusable data models, analyzing data for key trends, and collaborating across teams. Join a fast-paced, hybrid working environment that emphasizes innovation and a strong customer focus, supported by excellent benefits and development opportunities.

Benefits

33 days holiday

Private Medical Insurance

Life insurance at 4x salary

Paid volunteering time

Salary sacrifice pension scheme

Generous family-friendly policies

Perkbox membership

Qualifications

• Strong experience with SQL and Python required.
• Experience with Looker or similar BI tools.
• Self-starter with the ability to think outside the box.

Responsibilities

• Translate data requirements into robust and reusable data models.
• Draw insights and analyze large datasets to identify key trends.
• Build strong relationships with stakeholders and communicate insights.

Skills

SQL

Python

Looker

DBT

GitHub

Job description

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 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, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure 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. In Technology, we're asking that you attend the office a minimum of 1 day per week.

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 latestblogsor our case studies withWomen in Tech.

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, modelling both within the data warehouse and exposing via Looker, with a particular focus on Customer Data
• Draw insights and use appropriate analytical methods to analyse large datasets to identify key trends, opportunities, set KPIs and help solve business problems
• Build strong relationships with stakeholders and communicate insights effectively to help shape business strategy
• Maintain consistent and clear documentation and definitions across the data warehouse and Looker, communicate this with stakeholders
• Collaborate with the wider data team to help meet the business goals, including peer reviews

• Strong experience with SQL

• Experience with Python

• Strong experience with Looker or a Similar Business Intelligence (BI) Tool
• Good understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to translate raw data into a structured format, or a willingness to learn
• Self-starter with the ability to think outside the box and evolve projects. Take ownership of a project end-to-end and manage priorities accordingly
• Experience supporting and working with cross-functional teams in a dynamic environment
• Exposure working with Data within Customer Operations or Customer Outcomes (Complaints or Welfare Support) is a plus
• Version control using GitHub or similar

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

• 33 days holiday (including public holidays, which you can take when it 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
• Incentives refer a friend scheme
• 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 may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.