Lead Data Analyst

Overview

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

• 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
• Design 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
• 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, define jobs and responsibilities, planning for the department’s future needs and operations, counseling employees on performance and contributing to employee pay decisions/changes
• 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
• Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard (Listen, Energise, Align, Develop)

• 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.; experience 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
• Exposure to Broader Banking Product Stacks:
  Payment’s 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
• Experience working within or understanding data mesh concepts and “data as a product” principles
• Risk and controls, change and transformation, business acumen, strategic thinking and digital and technology skills

• People Leaders are expected to demonstrate the Barclays values of Respect, Integrity, Service, Excellence and Stewardship and the Barclays Mindset of Empower, Challenge and Drive
• Manage and mitigate risks through assessment, in support of the control and governance agenda
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business
• Collaborate with other areas of work to keep up to speed with business activity and the business strategies