Data Analyst

Job Description Purpose 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. Accountabilities 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. Applying 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. Designing and creating interactive dashboards and visual reports using applicable tools and automating reporting processes for regular and ad‑hoc stakeholder needs. Analyst Expectations The analyst is expected to perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. They will possess in‑depth technical knowledge in their area of expertise, lead and supervise a team if the role includes leadership responsibilities, or act as an advisor if an individual contributor. Leadership Behaviours (if applicable) Listen and be authentic. Energise and inspire. Align across the enterprise. Develop others. Qualifications Exposure in the 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. Additional highly valued skills may include exposure to AI/ML‑driven marketing and customer analytics, including campaign optimisation, customer lifetime value, churn, and segmentation, with technical skills in SQL, Python or PySpark, and Tableau, and familiarity with data governance and catalog tools. Strong 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. Location and Salary Location: Whippany, NJ. Salary: $90,000 – $120,000 per annum. Benefits Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances. This position is eligible for an incentive award. EEO Statement Barclays is an equal‑opportunity employer committed to diversity and inclusion. #J-18808-Ljbffr