Chief Data Office Data Analyst

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.

• 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 life cycles, and data quality management within a financial services environment.
• Experience working in Agile environments, with familiarity in tools such as Jira.

• 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.

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.

• 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.

• To advise…