Assistant Vice President, Data Analytics

Morgan StanleyJersey City, NJ
$139,600 - $140,000Hybrid

About The Position

Morgan Stanley Smith Barney LLC is seeking an Assistant Vice President, Data Analytics in Jersey City, NJ to work on the design, development and maintenance of media attribution modeling (Media Mix Modeling, Last Touch Attribution, Multi Touch Attribution) and integrate the output into existing media decision-making frameworks. Investigative analytics, targeting and segmentation, measurement, and reporting to provide actionable insights that will enable the firm to optimize media investments to drive growth and deliver the positive experiences in the business’ digital channels. Develop and maintain media data pipelines that feed the data warehouse for seamless access which can be used for analytics and reporting within and across teams. Build robust reporting and insights to understand the conversion and assets driven by media investments by channel to measure impact and optimize future investments. Set up and conduct large-scale experiments to test hypotheses for different media channels and drive business growth. Collaborate with the technology team and vendors to integrate new data sources, conversions API and third-party tools enabling robust media reporting. Expand and enhance digital media acquisition analytics with a disciplined test and learn approach and provide personalized experiences based on audience. Analyze the first party data and build customer segments that are relevant to firm’s growth and use the data to drive audience-based targeting. Collaborate with stakeholders to identify and expand opportunities and use-cases that data and analytics in making business decisions. Analyze click-stream data to understand digital client journeys and profiles to make recommendations that will drive higher usage and relevance of our digital channels to clients and prospects. Enable real-time data exchange between first party consoles and key distribution platforms.

Requirements

  • Master’s in Business Analytics or a related field
  • Three (3) years of experience in the position offered or three (3) years as an Assistant Vice President, Data Science Analyst, Software Engineer Associate, or a related role in the data analytics field
  • Three (3) years of experience with Media Attribution Modeling, including Last-Touch Attribution, Media Mix Modeling, and Multi-Touch Attribution
  • Three (3) years of experience with SQL
  • Three (3) years of experience with Python
  • Three (3) years of experience with R
  • Three (3) years of experience with Excel
  • Three (3) years of experience with Tableau
  • Three (3) years of experience with Data Modeling techniques including Regression, Classification, Bayesian, and Deep Learning Models
  • Three (3) years of experience with APIs Integration and Hypothesis Testing
  • Three (3) years of experience with A/B Testing
  • Three (3) years of experience with Google Campaign Manager
  • Three (3) years of experience with Google Search Ads
  • Three (3) years of experience with Adobe Analytics
  • Three (3) years of experience with Google BigQuery
  • Three (3) years of experience with Databricks
  • Three (3) years of experience with Snowflake
  • Three (3) years of experience with Data and Analytics in Financial Services
  • Three (3) years of experience with JavaScript
  • Three (3) years of experience with Marketing Pixels and Tags

Responsibilities

  • Design, development and maintenance of media attribution modeling (Media Mix Modeling, Last Touch Attribution, Multi Touch Attribution)
  • Integrate modeling output into existing media decision-making frameworks
  • Conduct investigative analytics, targeting and segmentation, measurement, and reporting to provide actionable insights
  • Optimize media investments to drive growth and deliver positive experiences in the business’ digital channels
  • Develop and maintain media data pipelines that feed the data warehouse
  • Build robust reporting and insights to understand conversion and assets driven by media investments by channel
  • Set up and conduct large-scale experiments to test hypotheses for different media channels
  • Collaborate with the technology team and vendors to integrate new data sources, conversions API and third-party tools
  • Expand and enhance digital media acquisition analytics with a disciplined test and learn approach
  • Provide personalized experiences based on audience
  • Analyze first-party data and build customer segments relevant to firm’s growth
  • Use data to drive audience-based targeting
  • Collaborate with stakeholders to identify and expand opportunities and use-cases for data and analytics in business decisions
  • Analyze click-stream data to understand digital client journeys and profiles
  • Make recommendations to drive higher usage and relevance of digital channels
  • Enable real-time data exchange between first-party consoles and key distribution platforms

Benefits

  • Medical
  • Prescription Drug
  • Dental
  • Vision
  • Health Savings Account
  • Dependent Day Care Savings Account
  • Life Insurance
  • Disability and Other Insurance Plans
  • Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually)
  • 10 Paid Holidays
  • 401(k)
  • Short/Long Term Disability
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