Data Analyst - Customer Engagement

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.

We're looking for an experienced Data Analyst to join our Growth Data team at Starling Bank and play a key role in delivering exceptional customer experiences. You'll work closely with our Customer Engagement and Marketing teams to optimise marketing campaigns and drive growth through effective and personalised customer communications.

What you’ll be doing:

• A/B testing: Initiate, design, and analyse A/B tests to optimise the performance of customer engagement campaigns and maximise their impact.  
• Causal Inference: Apply causal inference techniques to accurately measure the impact of engagement campaigns and personalise communications for individual users.  
• Insight Generation: Conduct ad-hoc product and marketing analysis to generate insights that inform campaign conception and improve performance.  
• Drive Data Fluency: Partner with stakeholders to enable them to confidently and accurately self serve and extract insight from data.
• Analytics Engineering: Collaborate with Analytics Engineers and Product teams to build and enhance our customer engagement data mart.  
• Data Storytelling: Translate complex data findings into clear, concise, and actionable insights and recommendations for marketing and customer engagement teams.  
• Measurement Frameworks: Contribute to the development and implementation of measurement frameworks to assess the effectiveness of marketing efforts across all channels. 

What you'll need:

• Analytical Expertise: Strong analytical and problem-solving skills, with a proven ability to derive actionable insights from complex datasets.  
• Commercial Acumen: A commercial mindset with the ability to translate data insights into business recommendations.  
• A/B Testing & Uplift Modelling: Solid experience in designing, implementing, and analysing A/B tests and uplift models, with a strong understanding of their application in real-world scenarios.  
• Causal Inference: Experience with causal inference methodologies and their application to marketing and customer engagement.  
• Technical Skills:
• Proficiency in SQL and Python for data manipulation, statistical analysis, and modelling.  
• Experience with dbt for data transformation is highly beneficial.
• Familiarity with data visualisation tools (e.g., Looker) for creating effective dashboards is highly beneficial
• Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely to both technical and non-technical audiences.  
• Collaboration: A strong team player with the ability to collaborate effectively with cross-functional teams, including marketing, product, engineering, and data science. 

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 - 90 mins technical interview with two team members
• Stage 3 - 45 min final with an executive and a member of the people team