Asset & Wealth Management, Client Solutions Group (CSG), Distribution Data, Analytics, and Insights - Data Science, Associate - Chicago

A career with Goldman Sachs Asset & Wealth Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world’s leading asset managers with over $2 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions, and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, Goldman Sachs Asset & Wealth Management provides clients around the world with a dedicated partnership and focus on long-term performance. As primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals.

Job Summary and Responsibilities:

This role will serve as a key contributor and delivery engine for the Distribution Data, Analytics and Insights (DAI) team, operating as part of the broader Distribution Strategy & Enablement group.  This team is a driving force behind our Client Solutions Group, using data and technology to scale our distribution business and contribute to the growth of the Goldman Sachs Asset Management (GSAM) business overall.  Specifically, this DAI function will help develop and grow a data ecosystem to help both provide critical reporting and insights to senior management, as well as formulate data models to help advance the on-the-field execution of our sales teams.  Our teams work closely with leadership from across the distribution business (including sales, marketing, product) while partnering closely with GSAM Engineering to develop and deliver on a multi-year roadmap of solutions and tools that will help scale the business and drive profitability.  Primary areas of focus will include data analysis and visualization to extract insights from combined data sets, customer segmentation & targeting modeling, territory analysis, and KPI performance tracking.  We are seeking a highly-motivated, analytical, and detail-oriented Analyst or Associate to join our Goldman Sachs Asset Management Client Solutions group to help build out the DAI function.  In this role, you will partner closely w/ the broader components of the Distribution Strategy & Enablement group to utilize data to drive business outcomes and enhance sales productivity by developing and communicating insights to key stakeholders.  The role will help strengthen the distribution data foundation, build traditional BI (including visualizations) & advanced analytical solutions and produce insights that empowers business decision-makers.

Skills/Experience:

• Strong expertise in BI and Analytics applications ( Alteryx, Tableau/Power BI/Qlik etc.), Programming (Python/R, SQL etc.), and Traditional & Cloud Databases (MS SQL Server,  SingleStore, AWS etc. )  is strongly preferred.
• Self-motivated team player, comfortable working within a dynamic business environment, juggling multiple responsibilities and pivoting to new challenges/priorities as they arise.
• Experience working with machine learning (ML) models and exposure to AI implementation is strongly preferred.
• Prior experience with BI methodology (e.g., descriptive, prescriptive, and predictive analytic techniques) is preferred.
• 3-6 years’ of experience operating and leading Business Intelligence efforts, ideally in the Asset/Wealth Management space.
• Experience working with key Investment Management Distribution data (e.g., CRM, Trade Positions/Assets and Flows , 3rd party opportunity data sets, Marketing Campaign data, Web analytics etc.) preferred.
• Data-driven user centered design approach to analysis and data management, with demonstrated ability to deliver information that addresses and anticipates various business user needs.
• Exposure to and experience with MDM techniques, data governance and data management is preferred.
• The ideal candidate has a strong willingness to learn, ability to leverage technical skills, and a solid understanding of business strategies, priorities and initiatives.   
• Enjoys problem solving and being “the glue” between business challenges/opportunities and delivering results.
• Demonstrates an understanding of multiple databases, data flows and relationships across various sources. 
• Has a strong ability to build collaborative relationships and communicate effectively with business and IT leaders, project members and vendors to assure success.
• Functional understanding of Salesforce / CRM platf