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Data analyst – customer engagement (hybrid, london) | starling bank

London
HipHopTune Media
Data analyst
€60,000 - €80,000 a year
Posted: 14 May
Offer description

Data Analyst – Customer Engagement (Hybrid, London) | Starling Bank

Are you passionate about leveraging data to drive customer engagement and business growth? Starling Bank is looking for a talented Data Analyst – Customer Engagement to join our London-based team in a hybrid working environment. In this dynamic role, you’ll play a key part in shaping the future of our customer experience through data-driven insights and advanced analytics.

We’re seeking a results-oriented analyst with strong technical expertise in SQL and Python, and a solid background in statistical analysis, data modelling, and problem-solving. Your work will directly influence decision-making across our customer engagement strategies, enabling us to deliver more personalised and impactful customer experiences.

If you’re ready to make a real difference at one of the UK’s leading digital banks, apply now to join Starling Bank and help us transform how data powers customer engagement.


About the Role

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.

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.


Responsibilities

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.
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