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Assistant Manager, Digital Experience and Data Science

Lloyds Banking Group

Bristol, England, United KingdomOn Site

Original Job Summary

About this Opportunity

The Assistant Manager, Digital Experience and Data Science at Lloyds Banking Group is a role within the Colleague Communications & Experience team, focusing on data-led development and enhancing colleague communications across channels. This role is designed to develop a Communication Insights dashboard into a key decision-making tool, guiding strategic priorities and integrating emerging AI solutions.

What you'll be doing

Digital: Ensure appropriate data insights using Power BI and agentic BI; streamline workflows with Microsoft tools; shape the data narrative to improve colleague experience; and implement AI solutions.

Data Analysis: Analyze key themes from diverse data sources, identify trends, conduct A/B testing, and benchmark internal data to create actionable insights. Collaborate with channels experts and educate partners on data importance.

Data Communication: Clearly articulate data trends and insights to partners, prepare and present reports with actionable recommendations.

Why Lloyds Banking Group

Join an organisation on a transformative journey focused on clear and impactful communications, investing in technologies, diversity and inclusion, and offering a wide-ranging benefits package.

Key Skills/Competency

  • Data Insights
  • Power BI
  • AI Solutions
  • Data Analysis
  • Microsoft Tools
  • Communication
  • Strategic Transformation
  • Cultural Change
  • Reporting
  • Problem Solving

How to Get Hired at Lloyds Banking Group

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analysis and BI skills.
  • Research Lloyds Banking Group: Understand their digital transformation journey.
  • Demonstrate analytical skills: Provide examples of actionable insights.
  • Prepare for interviews: Practice case studies and data scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review Power BI dashboard techniques.
Practice data analysis using multiple datasets.
Study AI solution case studies.
Brush up on Microsoft tool integrations.

Behavioral Questions

Describe a time you solved a complex problem.
Explain how you manage competing priorities.
Discuss dealing with data-driven feedback.
Share a challenging communication experience.