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Morgan Stanley Logo

BI & Data Analytics Engineer

Morgan Stanley

$120,000 - $165,000
Sep 3, 2025
New York, NY, USA
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Morgan Stanley is looking to solve the problem of providing consistent, trusted, and integrated business information across all platforms and delivery channels within Morgan Stanley Wealth Management (MSWM) businesses.

Requirements

  • -5+ Years of Development creating End to End Full Stack BI Solution, using BI Tools (Power BI, Tableau, Business Objects) and ETL Development (Informatica)
  • -5+ years of experience with the technical analysis and design, development and implementation of Data Lake and Data Warehouse solutions.
  • -5+ years of experience in Hadoop, PySpark and Big data technologies.
  • -5+ years relational database experience.
  • -Strong UNIX Shell scripting and Python experience to support data warehousing solutions.
  • -Power BI Development and Azure
  • -Relational databases DB2, Sybase, and Teradata.

Responsibilities

  • -Develop and build enterprise level Full Stack applications using BI and ETL technologies.
  • -Design and develop scalable data model to create intuitive reports and dashboards.
  • -Design and Development of ETL/Hadoop, including stored procedures, queries, performance tuning, archiving, etc., using python, SQL and ETL tools.
  • -Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop Platform.
  • -Build data pipelines and efficient automation scripts (using Python)
  • -Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.
  • -Analysis of existing designs and interfaces and applying design modifications or enhancements.

Other

  • -Excellent Team Player.
  • -Experience working directly with business stakeholders to translate between data and business needs.
  • -Ability to work in an environment where you are empowered to achieve your full potential.
  • -Commitment to diversity and inclusion
  • -Bachelor's degree or higher