Advanced Digital Data Analyst - Digital Engagement

End Date

Tuesday 05 August 2025

Salary Range

£70,929 - £78,810

We support flexible working –  for more information on flexible working options

Flexible Working Options

Flexibility in when hours are worked, Hybrid Working, Job Share

Job Description Summary

Designs and implements advanced statistical models utilising techniques such as regression, hypothesis testing and forecasting to find patterns and insights which drive decision making. Supports capability growth of self and others through coaching and/or management of a small team

Job Description

JOB TITLE:
Advanced Digital Data Analyst - Digital Engagement

LOCATION(S):
Bristol, Birmingham or London

HOURS:
Full-time

WORKING PATTERN:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time at an office hub mentioned above. We support agile working,
for more information on agile working options.

About This Opportunity

At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best bank for our customers. What we do makes a genuine difference to families, businesses and communities, and we’re playing a central role in building a growing UK economy.

We are the UK’s largest Retail Digital bank with over 23 million active users across our four brands. In Digital Engagement, we seek to drive excellent digital customer experiences and improve the digital capabilities of our customers to support their financial empowerment; ultimately improving digital self-service. As customer journeys become more complex and the competitive landscape more fierce, we need to get increasingly sophisticated in our understanding of customer needs and our ability to personalise treatments.

The Advanced Digital Data Analyst role is core to this endeavour, developing deep insights into customer behaviour and developing predictive models to enable more personalised interactions which ultimately drive better customer outcomes.

As an Advanced Data Analyst you'll..

• Engage with a variety of stakeholders to understand business objectives and strategic initiatives where potential application of advanced analytics would be beneficial

• Use your experience to propose and shape deep analytics and modelling projects using appropriate advanced analytics tools and techniques

• Collaborate with the local team to share ideas and listen to alternatives both on your projects and others’ projects, encouraging a culture of mutual support and knowledge sharing

• Identify and source appropriate data, validating quality and suitability for the task, and transforming as required, keeping stakeholders informed of any limitations identified

• Undertake data analysis or model development as required, maintaining focus on delivering insights or modelling solutions which maximise customer benefit

• Work with wider teams across Consumer Engagement to navigate necessary governance and to embed models into live customer interactions or solutions

• Maintain effective comms with stakeholders throughout the project, sharing insights as they emerge, documenting decisions and outputs, and managing expectations on delivery content and timescales.

• Contribute to the continuous development of the team, expanding techniques and capabilities, developing new skills, and engaging with the wider LBG data science community

Key Skills

• Strong technical background with expertise in large scale data mining and data manipulation (using SQL), and the principles of predictive analytics and their application to real-world business problems using structured and unstructured data sources.

• Practical experience using data modelling tools (such as Python, R, Vertex AI) and statistical modelling or machine learning techniques (such as logistic regression, clustering, decision trees, random forests, significance testing).

• Experience with full lifecycle of analytics projects from scoping, build, deployment and management of statistical models – with the experience to be confident working rapidly from data collation through to model build and production.

• Strong analytical skills and an inquisitive mind will be key in understanding the subtleties of some very complex datasets

• Good business…