Senior Data & Insights Analyst

To enable data driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

• Investigate and analyse data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Design and build data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad hoc stakeholder needs.

• Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
• Collaborate closely with other functions/business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
• Set objectives and coach employees in pursuit of those objectives, conduct appraisal of performance relative to objectives and determine reward outcomes.
• If the position has leadership responsibilities, demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard, following the four LEAD behaviours: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
• For an individual contributor, lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments, and identify new directions for assignments or projects.
• Consult on complex issues; provide advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Collaborate with other areas to keep up to speed with business activity and business strategy.
• Engage in complex analysis of data from multiple sources of information to solve problems creatively and effectively, and communicate complex information to stakeholders.

Join Barclays as a Senior Data & Insights Analyst and play a key role in shaping how Acquiring Operations uses data to improve performance, efficiency and customer outcomes. As a member of the Data, Insights & Workforce Management team, you will lead the delivery of trusted reporting, analytics and insight that supports operational decision making, drives strategic change and helps leaders identify risks and opportunities. This is an opportunity to move beyond traditional reporting and become a trusted analytical partner to senior stakeholders, transforming complex data into meaningful insight, influencing business decisions and driving the future direction of data, automation and AI enabled analytics across Acquiring Operations.

• Advanced SQL skills, with the ability to write, optimise and maintain complex queries to extract, transform and analyse data from multiple sources.
• Proven experience designing, developing and maintaining Tableau dashboards and visualisations that provide clear, actionable insight to support business and operational decision making.
• Considerable analytical capability, with experience handling large and complex datasets and translating ambiguous business problems into clear analytical approaches, actionable insight and business recommendations.
• Proven experience using AI tools and emerging technologies to enhance reporting, data analysis, coding efficiency and insight generation.
• Experience developing automated reporting solutions, data pipelines and analytical processes using Python or similar technologies.
• Understanding of forecasting, capacity planning, demand analysis and workforce management principles, and how these support operational performance and decision making.
• Assessment may be based on critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology.

This role will be based in Northampton.