Starling Bank

Data Analyst - Product and Marketing

Remote Hybrid UK
SQL Python
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.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

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.

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 Marketing and Product 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, driving business-wide data fluency
  • 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
  • Experience with cross-channel Marketing/Product analytics techniques and concepts, particularly marketing attribution, AB testing, incrementality testing, LTV and/or digital analytics is a plus
  • Self-starter with the ability to take ownership and think outside the box
  • Experience supporting and working with cross-functional teams in a dynamic environment

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 challenge
  • Stage 3 - 60 mins technical interview with two team members
  • Stage 4 - 45 min final with an two executives
Starling Bank
Starling Bank
Banking Financial Services FinTech

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