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.

Assistant Vice President Expectations

• To 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, appraisal of performance relative to objectives and determination of reward outcomes
• 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing 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.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders 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 Barclays as a Chief Data Office Data Analyst, where you will play a pivotal role in turning complex, high-volume datasets into clear, actionable insight that drives both strategic direction and day-to-day operational decisions across the organisation.

You will work across analytics, governance, and business change—helping ensure that data used across risk, finance, and regulatory reporting is accurate, trusted, and well-controlled.

In this role, you will translate your findings into compelling visualisations, reports, and narratives that enable stakeholders to act with confidence. Beyond analysis, you will play a key role in embedding data standards into change programmes, supporting regulatory reviews and internal audit engagements, and partnering with Chief Data & Analytics Office (CDAO) teams to deliver trusted data products at scale.

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

• Analytical and problem-solving skills with the ability to interpret, cleanse, and synthesise complex datasets.
• Proven experience in data profiling, issue resolution, and delivering actionable insights from large datasets.
• Ability to lead or support stakeholder meetings and translate business needs into clear analytical requirements.
• Advanced proficiency in data analysis and visualisation tools, including SQL, Python, Tableau, and Excel.
• Ability to influence decision-making through data storytelling and clear visual communication.
• Understanding of statistical and analytical techniques to identify trends, patterns, and anomalies.
• Experience conducting root cause analysis to identify and resolve data quality issues effectively.
• Experience engaging with stakeholders across technical and business teams to align priorities and drive outcomes.
• Practical understanding of data governance, data lifecycles, and data quality management within a financial services environment.
• Experience working in Agile environments, with familiarity in tools such as Jira.

Other highly valued skills include:

• Experience supporting regulatory reporting, audit reviews, or risk data governance within a financial institution.
• Understanding of data and records management principles and their importance in regulated environments.
• Experience working with scaled Agile frameworks and cross-functional delivery teams.
• Familiarity with data pipeline design and data preparation techniques
• Experience partnering with data governance or data architecture teams to improve data quality and accessibility.
• Awareness of risk management principles related to data handling, controls, and compliance.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Glasgow with a hybrid working model of working a minimum of 2 days per week in the office.