Data Analyst - Us Banks Analytics, Assistant Vice President

Morgan Stanley

Base: $85,000 to $140,000 py; bonus/equity: commis...
Not specified
Strong proficiency in sql
Experience working with large datasets
Ability to translate data into clear insights
Morgan Stanley is seeking a Data Analyst for its US Banks Analytics team, focusing on analyzing complex datasets to drive business growth within their Wealth Management division. The ideal candidate should possess strong analytical skills, proficiency in SQL and familiarity with Python or R, along with excellent communication abilities to present insights to senior stakeholders

Job Summary

  • The role involves analyzing large, complex datasets to identify trends and actionable insights related to client behavior and banking services.
  • Candidates will partner with cross-functional teams including Product Areas, Sales, and Marketing to address strategic questions and deliver data-driven solutions.
  • Morgan Stanley offers a comprehensive compensation package including base pay between $85,000 and $140,000, along with incentive compensation and extensive employee benefits.

Matching Summary

Match Score: 85

Morgan Stanley is seeking a Data Analyst for its US Banks Analytics team, focusing on analyzing complex datasets to drive business growth within their Wealth Management division. The ideal candidate should possess strong analytical skills, proficiency in SQL and familiarity with Python or R, along with excellent communication abilities to present insights to senior stakeholders.

Salary

Base: $85,000 to $140,000 per year; Bonus/Equity: Commission earnings, incentive compensation, discretionary bonuses, short and long-term incentive packages; Benefits: Comprehensive employee benefits and perks

Skills & Requirements

Must-have

  • Strong proficiency in SQL
  • Experience working with large datasets
  • Ability to translate data into clear insights
  • Bachelor's degree in quantitative field
  • 3-5 years of analytics experience

Nice-to-have

  • Familiarity with Python or R
  • Knowledge of SAS, Dataiku tools
  • Strategic thinking capabilities
  • Passion for driving business growth
  • Comfortable presenting to senior stakeholders

Key Requirements

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, or Engineering
  • 3-5 years of experience in an analytics role
  • Strong attention to detail and commitment to data accuracy

Work Rights

Not specified

Tailored Resume

Cover Letter