Data Analyst

Job description

Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. 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 our team as a Data Analyst where you will help transform data into a strategic asset for the bank. The ideal candidate will have a strong foundation in data engineering and a passion for creating efficient, scalable and secure data solutions. By building and maintaining modern data platforms and collaborating with stakeholders across the business, you will enable trusted data access, support advanced analytical use cases and contribute to delivering meaningful business outcomes. To be successful as a Data Analyst, you must have the following essential skills: Strong Requirements Engineering & Agile Analysis : Eliciting, validating and documenting BRDs/FRDs/user stories, Backlog refinement, feature mapping, supporting testing, Working within Agile frameworks Domain Expertise in any banking stack : Core Banking, Onboarding, Payments, FX, Liquidity and Cash Management etc. Having worked in a data mesh world or understanding concepts around data as a product. Agile Ceremonies & SAFe Program Events : Strong proficiency in writing epics, capabilities, features, and user stories with acceptance criteria that meet Definition of Ready/Definition of Done Some other highly valued skills may include: Exposure to Broader Banking Product Stacks : Payments domain deep‑dive, Core banking systems, ETL / reporting flows, Integration with middleware (Kafka, MQ, file‑based patterns) Technical Awareness & Analytical Tools : SQL/data interpretation, Understanding of data models, interfaces and system behaviour, Ability to support issue triage (defects, test cycles) Risk Management & Regulatory Awareness : Risk & Controls, Regulatory Reporting, Liquidity Risk You may be assessed on the ket critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen strategic thinking and digital technology, as well as job-specific technical skills This role will be based out of Glasgow office