Assistant Vice President, Data Analytics

Morgan Stanley Smith Barney LLC seeks an Assistant Vice President, Data Analytics in Jersey City, New Jersey

Develop analytical and reporting frameworks. Create and deliver recurring management reporting and deepdive analysis. Collaborate with product and strategy teams. Design and develop data models. Analyze

financial data sets to discover underlying correlations and trends. Create new customer segments to drive

business initiatives. Identify and track Key Performance Indicators. Design, develop, and maintain business

intelligence dashboards. Present findings and results to key stakeholders. Conduct continuous review to

streamline reporting and analytic portfolio. Develop center of excellence and best practices for business

reporting and analytics. Collaborate with data governance partners to maintain strong risk controls and

governance. Telecommuting permitted up to 1 day per week.

Salary: Expected base pay rates for the role will be between $151000 and $151000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Requirements: Requires a Master’s in Analytics, Informatics, Data Science, or a related field and one (1) year of experience in the position offered or one (1) years as a Specialist Revenue Management, Assistant Manager, or a related occupation. Requires one (1) year of experience with: data analysis using programming languages including SQL, Python, and VBA; dashboarding, reporting, and visual analytics using business intelligence tool including Tableau and Qlik View;

applying revenue management principles to drive revenue; database principles for designing, curating, and wrangling data in environments including SQL server and datalakes; crafting a narrative from data and analysis to deliver concise messaging for business leadership;
Microsoft PowerPoint and Excel; leveraging statistical models, machine learning algorithms, and predictive analytics to develop solutions for business problems;
Utilizing cloud-based technologies and platforms; and analyzing client survey data including Net promotor score to gather feedback and identify areas for improvement.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).