All new
Data Science
jobs, in one place.

Updated daily to help you be the first to apply ⏱

Data Analyst
  • SQL
  • Database
  • Data Visualization
Morgan Stanley
New York, NY
109 days ago
Data Analyst

Job Number:


POSTING DATE: Jul 1, 2020PRIMARY LOCATION: Americas-United States of America-New York-New YorkEDUCATION LEVEL: Bachelor's DegreeJOB: Wealth ManagementEMPLOYMENT TYPE: Full TimeJOB LEVEL: Analyst


Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, and investment management and wealth management services.
The Analytics & Data Organization is part of Morgan Stanley’s Wealth Management Division. The organization’s responsibility is to support Wealth Management’s strategic objectives through the use and exploitation of its data and analytical assets. Key focus areas will be in support of organic growth through the digitization and delivery of investment advice; partnering with each business area by providing them the tools, expertise, and support for them to understand and analyze their own data; and to make data and analytics a differentiated capability for the firm. The team’s responsibility is to support Wealth Managements strategic objectives through the use and exploitation of its data and analytical assets.
You will:Interface with Business Partners on a regular basis to understand business needs and expectationsBuild data models and analyses based on agreed upon requirementsPartner extensively with other teams within and outside the Analytics & Data group such as data visualization, data science, sales and marketing teams to deliver business solutionsUtilize proactive problem-solving and innovative thinking to address challengesCreate relevant documentation where needed


You have:

Bachelor’s or higher degree in Technical field with Business/Economics background or vice versa0-3 years of related experienceGood knowledge of SQL
Proficient analytical and problem solving skills with the ability to determine business partner needs and create purpose built solutions
Ability to work collaboratively across multiple business units, teams, and job functionsHighly motivated / self-starter with a sense of ownership, willingness to learn, high degree of curiosity and desire to succeedStrong attention to detail and the ability to handle multiple tasks and projects concurrentlyYou might also have:Good understanding at least one of the relational database technologiesBackground in the Financial Services Industry

    Related Jobs

  • Data Scientist, Analytics - Family Ecosystems

    • SQL
    • scikit-learn
    • Python
    Menlo Park
    27 days ago
  • Machine Learning Engineer

    • PyTorch
    • scikit-learn
    • Keras
    6 days ago
  • Human Resources Benefits Data Analyst

    • Database
    • Microsoft Excel
    20 days ago
  • Data Scientist, CGHPI - Georgetown University Medical Center

    • Database
    Georgetown University
    19 days ago
  • Manager Data Scientist - Decision Science

    • Modeling
    PenFed Credit Union
    19 days ago