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Join us as a "Data Analyst" at Barclays, where you will play a key role in supporting HR transformation programmes through high-quality data, strong governance, and actionable insight. In this role, you will help ensure that data is fit for migration, reporting, analysis, and decision-making, while working across business, technology, and third-party teams to improve data quality, controls, and delivery outcomes. You may be assessed on the key critical skills relevant for success in this role, including data analysis, data migration, risk and control, change and transformation, stakeholder management, and job-specific technical capabilities.
Job Responsibility
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
Requirements
Analysis and documentation of business requirements to translate them into data definitions, models and artefacts aligned with organisational goals
Development and maintenance of data dictionaries and glossaries to define data elements and their usage
Analyse and monitor data usage patterns to identify opportunities for optimisation, standardisation, and improvement
Conduct data quality root cause analysis and implement remediation actions to improve both new data acquisition and existing large-volume datasets
Supporting data product flows, including sourcing, lineage and control points to help improve data quality and consistency
Nice to have
Experienced in using AI to improve business processes and support analytics
Scripting skills (for example, Python) to support data validation, automation, or analysis
Collaborate with stakeholders across HR, HR Technology, business teams, and third-party partners to drive delivery across transformation programmes
Implementation of Data Products and enabling the use of data in AI models
Knowledge of data and records governance standards and how to apply them in transformation environments