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Join us as a 'Data Analyst' at Barclays, where you'll build analytical tools to generate insight, recognise patterns and predict behavior, and deliver content direct to users of information products. You will work with technical teams, architects, designers, and administrators to overcome technical challenges and to make it happen. A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world.
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
Lakehouse table formats: Delta Lake, Apache Iceberg
Data modeling: dimensional modeling, SCD Type 1/2/3
Object storage & file formats: S3, Parquet
Data transformation frameworks: dbt, databricks
Metadata management, lineage, and data catalogs
Fine-grained access control, PII handling, and data masking
Deep experience with at least one cloud platform (AWS)
Hands-on expertise with lakehouse platforms (Databricks, Snowflake + Iceberg)
Strong understanding of business data requirements and KPIs
Ability to translate business logic into curated datasets and metrics
Data analysis mindset: identify anomalies, trends, and data issues
Stakeholder collaboration with analytics, BI, and product teams
Documentation of business rules, data definitions, and assumptions
Understanding of data lifecycle, data ownership, and stewardship
Graduation as a minimum
Experience with ownership of key initiatives to deliver results through an agile workflow
Design, test and build complex forecast models and simulations to identify causal links between customer behavior and business opportunities and performance
What we offer:
Hybrid working
Structured approach to hybrid working with fixed 'anchor' days
Supportive and inclusive culture and environment
Opportunities to innovate, collaborate, and deliver great outcomes
Welcoming and inclusive culture that supports you to bring your whole self to work
State-of-the-art technology hub with excellent facilities for work, socialising and leisure