Data Analyst - US Banks Analytics, Assistant Vice President

This onsite Data Analyst role sits within Morgan Stanley's US Banks Analytics team, part of Wealth Management Analytics & Data. The position focuses on examining large datasets to uncover insights on client behavior and engagement, delivering data-driven solutions to senior leadership. The role collaborates with cross-functional groups, drives strategic analytics initiatives, ensures data quality, and supports the production of executive-ready materials. Location is New York, NY, with a salary range of USD 85,000 to 140,000 per year.

Responsibilities

• Analyze large, complex datasets to identify trends, drivers, and actionable insights related to client behavior, balances, flows, and engagement
• Partner with cross-functional teams (Product Areas, Sales, Marketing, etc.) to address ad hoc analytical requests and strategic questions
• Research and answer senior management’s strategic questions and deliver data-driven solutions to complex business problems
• Drive strategic initiatives by developing analytical approaches and assessing their effectiveness and outcomes
• Ensure data quality, accuracy, and consistency through strong validation, reconciliation, and documentation practices
• Contribute to the automation and scalability of reporting and analytics processes
• Support the development of executive-ready materials for senior leadership

Requirements

• Bachelor’s degree in a quantitative or analytical field (e.g., Economics, Finance, Statistics, Mathematics, Engineering)
• 3-5 years of experience in an analytics role
• Strong analytical and problem-solving skills and experience working with large datasets
• Strong proficiency in SQL, familiarity with Python/R, and knowledge of other analytical tools (SAS, Dataiku, etc.)
• Demonstrated ability to translate data into clear insights and narratives
• Strong attention to detail and commitment to data accuracy
• Excellent written and verbal communication skills; comfortable presenting insights and recommendations to stakeholders at various levels
• Must be highly motivated and comfortable working in a fast paced environment
• Also looking for someone that enjoys challenges and has an ability to assess issues from multiple angles

Technologies

• SQL
• Python
• R
• SAS
• Dataiku