Lead Data Analyst

Step into the role of Lead Data Analyst at Barclays and play a pivotal part in shaping data-driven solutions across our banking platforms. In this role, you will bridge business needs and technical delivery, ensuring requirements are clearly defined, prioritized, and translated into high-quality solutions within an agile environment.

A strong understanding of banking domains—such as Core Banking, Onboarding, Payments, FX, Liquidity, and Cash Management—is essential. Experience working within or understanding data mesh concepts and “data as a product” principles will enable you to effectively collaborate across distributed data teams.

Desirably, you bring exposure to broader banking product stacks, including payments processing, core banking systems, ETL and reporting flows, and integrations using middleware technologies such as Kafka, MQ, or file-based patterns. Technical awareness is key, including proficiency in SQL, data interpretation, understanding of data models and system interfaces, and the ability to support defect triage and test cycles.

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

• 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.

Other highly valued skills include:

• 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.

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 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, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on…