Data Analyst Job at Barclays (Whippany)

Job Description

Embark on a transformative journey as a Data Analyst. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. This role enables data-driven decision-making across USCB by translating complex data into clear, actionable insights, while advancing cloud migration, data product development, and AI adoption. It also bridges business and data functions through stakeholder management, communication, and governance to ensure alignment, transparency, and effective execution.

Job Responsibility

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

Requirements

Exposure in marketing domain, including campaigns, customer segmentation, and loyalty economics, with advanced analytics using SQL, Python, and Power BI to drive targeted, insight-led decisions
Experience with GenAI and prompt engineering to accelerate insight generation, develop interactive dashboards, and enable AI-driven analytics workflows across cloud platforms such as AWS and Databricks
Proven ability to design and deliver business intelligence and visualization solutions using tools such as Power BI and Tableau, while leveraging platforms like Confluence, SharePoint, and Copilot for collaboration and knowledge management

Nice to have

Exposure to AI/ML-driven marketing and customer analytics, including campaign optimization, customer lifetime value, churn, and segmentation, with technical skills in SQL, Python or PySpark, and Tableau, and familiarity with data governance and catalog tools
Ample communication skills and the ability to translate complex analytics into clear, executive-ready summaries that support informed decision-making
Proven storytelling capability, with the ability to craft insight-driven narratives that effectively connect analytical outputs to measurable business outcomes

What we offer

Medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award

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