Overview
Job Description Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.
Responsibilities
* Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
* Execution of data cleansing and transformation tasks to prepare data for analysis.
* Designing and building data pipelines to automate data movement and processing.
* Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
* Documentation of data quality findings and recommendations for improvement.
* Leadership and collaboration: supervise teams or lead collaborative assignments; influence decision making and contribute to policy development; set objectives and coach employees in pursuit of objectives; appraisal of performance and reward outcomes where applicable.
Leadership and Behaviours
If the position has leadership responsibilities, demonstrate 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 individual contributors, lead collaborative assignments and guide team members through structured tasks; identify the need to involve other areas of specialisation and coordinate cross-functional methodologies or practices to meet outcomes. Consult on complex issues and provide advice to People Leaders; identify risk mitigation and develop new policies/procedures in support of control and governance agendas.
Governance, Risk & Collaboration
Take ownership for managing risk and strengthening controls related to the work. Collaborate with other areas of work for business-aligned support and to stay aligned with business activity and strategy. Engage in complex analysis of data from multiple sources (internal and external) to solve problems creatively and effectively. Communicate complex information and influence stakeholders to achieve outcomes.
Role Context
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship — our moral compass. 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 Portfolio Data Analyst at Barclays, where you\'ll play a key role in driving governance, process improvement, and agile transformation across the Insurance & Packs Sub-LAB within the Life Moments LAB. In this role, you\'ll support mission-critical and regulatory deliverables by maintaining and analysing data in Jira, Navigator, and related tools, enabling better sprint velocity tracking, trend analysis, and pack creation. You\'ll collaborate with Scrum Masters and project leads to enhance data hygiene, improve Jira usage, and provide actionable insights that support agile ways of working, with a focus on project governance, process controls, and continuous improvement.
Qualifications and Experience
1. Proficiency in Jira/JQL Reporting, Taxonomy, and Data Analysis.
2. Proven experience with PMO Governance and Controls, with the ability to analyse project management processes to identify governance gaps and areas of failure, ensuring compliance and effectiveness.
3. Experience with Navigator and Tableau Reporting and Analysis.
4. Experience in reviewing and enhancing processes to optimise efficiency and support continuous improvement initiatives.
5. 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.
6. Location: The successful candidate can either be based in Knutsford or Northampton.
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