About the role

Senior Data Analyst shaping data-driven decision-making in BI & Reporting team at Lloyds Banking Group. Collaborating on data visualisation and reporting solutions within evolving data environments.

Responsibilities

Designing, developing and maintaining MI products that deliver clear, actionable insight to operational and senior stakeholders, applying strong data visualisation principles.
Leading and supporting business change initiatives, ensuring MI and data solutions adapt to changing processes, platforms, and regulatory or organisational requirements.
Contributing to the evolving data landscape, including supporting data migrations and validating new data sources, and ensuring continuity of reporting through change.
Transforming complex datasets into meaningful insights through high‑quality analysis, storytelling, and clear presentation to influence and guide stakeholders.
Taking ownership of data gathering, cleansing and modelling activities to maintain robust, accurate and consistent reporting foundations.
Developing MI solutions within Google Cloud Platform, building scalable cloud‑based reporting from foundational and consumption data products.
Managing and triaging ad‑hoc data and insight requests from business stakeholders, ensuring timely, accurate and well‑communicated outputs that support decision‑making.
Collaborating across boundaries - working with multi‑functional teams, business areas and technical partners to ensure reporting and insight remains aligned with strategy, technology shifts, and operational priorities.

Background in Power BI reporting and strong data visualisation capability, including developing insightful dashboards that influence operational and strategic decisions.
Advanced Excel skills, including complex formulas, Power Query, data modelling, and automation of reporting processes.
Strong SQL skills to extract, manipulate and transform data from multiple complex sources.
Experience in designing dashboards and MI solutions that translate data into clear, actionable insights for senior leaders and operational teams.
Proactive approach to identifying and promoting new analytical techniques, tools, and methodologies that enhance data quality, efficiency, and insight generation.
Excellent communication and stakeholder engagement skills, with the ability to influence, challenge constructively, and convey complex analysis in a clear and compelling way.
Strong problem‑solving mindset, able to navigate ambiguity, diagnose data issues, and design robust analytical solutions.
Comfortable working with large datasets and multiple data sources, ensuring accuracy, consistency, and governance standards are met.
Ability to work collaboratively across multifunctional teams, including data engineers, product owners, operational leaders, and wider analytics communities.