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Join us as a Data Analyst at Barclays where you'll spearhead the evolution of our warehouse landscape for all Analytics work, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our data engineering, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role.
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:
Banking Domain Knowledge preferably collection and recovery lending
Writing Complex SQL Scripting, and strong Data Profiling
Create source to target mapping and support Data Engineers in developing code
Working knowledge on Warehousing projects
Teradata / Oracle / Bigdata / Cloud Concepts
Working knowledge on Data Modelling Tool
Nice to have:
Knowledge on AWS, Python/PySpark
JIRA and Agile way of working
Knowledge on Snowflake and Databricks
What we offer:
modern workspaces, collaborative areas, and state-of-the-art meeting rooms
wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations