Data Analyst

Job Description

Purpose of the role

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.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
• Designing and building 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.
• Through data-driven analysis, 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.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Data Analyst at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.

To be successful as a Data Analyst, you should have experience with:

• Delivery of analytical outputs that convert complex data into clear insight, recommendations, and measurable business value.
• Cleaning and preparing data with accuracy
• Using Excel and spreadsheets to organize and study information
• Working with SQL to manage and query databases
• Applying statistical methods to understand patterns
• Creating clear visuals and explaining insights in a simple way
• Using programming tools like Python or R for deeper analysis
• Partner with business, technology, risk, finance, operations, and data teams to define analytical requirements, success measures, and data-driven solutions.
• Design, enhance, and govern dashboards, reports, scorecards, and analytical frameworks that support performance management, operational oversight, risk mitigation, and strategic initiatives.
• Conduct deep-dive analysis to identify trends, anomalies, root causes, opportunities, and risks, translating findings into clear narratives for senior stakeholders.
• Ensure analytical outputs are accurate, complete, controlled, and aligned with data quality, data governance, privacy, security, and regulatory expectations.
• Provide subject matter expertise on data interpretation, metric definition, business logic, and analytical best practice across the function.
• Drive continuous improvement by identifying opportunities to simplify reporting, automate manual analysis, improve data quality, and enhance stakeholder self-service capability.

Some other highly valued skills may include:

• Deliver high-quality analytical work in a timely manner, consistently applying sound judgement, attention to detail, and a continuous improvement mindset.
• Demonstrate strong technical and business knowledge across data analysis, reporting, visualisation, data quality, metric design, and business performance interpretation.
• Understand the underlying principles, concepts, and drivers within the relevant business area and use this knowledge to shape insight, challenge assumptions, and influence outcomes.
• Lead analytical workstreams or small teams where required, guiding priorities, reviewing outputs, supporting professional development, and ensuring delivery against agreed objectives.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• For an individual contributor role, act as a trusted advisor in the data analytics domain, developing specialist expertise and providing guidance to stakeholders and colleagues.
• Have an impact on the work of related teams by improving insight, strengthening decision-making, and supporting the delivery of functional and organisational objectives.
• Partner with other functions and business areas to understand priorities, clarify problems, align definitions, and deliver analytics that support enterprise-wide outcomes.

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