Job Duties: Associate, Data Analytics with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Perform and project manage data analytics. Analyze data trends, utilize forecasting methods such as Time Series analysis to perform deep dives and understand drivers and trends. Define functional requirements, service level objects (SLOs), quality-related measurements, and scenario-based use cases in support of a product or project management lifecycle. Identify, document, and improve existing processes to maximize efficiency in constantly evolving environments. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Science, Data Science, Applied Data Science, or a related field and one (1) year of experience in job offered or in a related Data Analytics role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Data Science, Applied Data Science, or a related field and three (3) years of experience in job offered or in a related Data Analytics role. Prior work experience must include one (1) year (with a Master’s degree) OR three (3) years (with a Bachelor’s degree) with: develop and maintain Extract, transform, and load (ETL) processes; data analytics tools including Alteryx and use of functionality, including macros, analytic apps, and reporting and data transform tools; creating and maintaining database tables in a Microsoft SQL environment; advanced Structured query language (SQL) including utilizing subqueries, window functions, and data design language; data visualization tools including Tableau and use of level of detail functions, context filters, and data blending; business intelligence tools including Alteryx Server and Tableau Server platforms; and project management tools including JIRA and use of Epics, Stories, Tasks, and Story Points.
©The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.