Data Analyst (Customer)

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 latest blogs or our case studies with Women 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
Requirements:
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

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