Senior Associate, Data Analytics with Goldman Sachs & Co. LLC in New York, New York. Develop and implement high-quality Business Intelligence (BI) and analytics solutions. Design, develop, and maintain scalable data pipelines and business processes. Utilize multidimensional data modeling and data warehousing techniques to support advanced data analytics and reporting. Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Engineering, Data Science, Data Analytics, Integrated Marketing, or a related field and one (1) year of experience in the job offered or in a related role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Engineering, Data Science, Data Analytics, Integrated Marketing, or a related field and three (3) years of experience in job offered in a related role. Prior experience must include one (1) year of experience (with a Master's degree) OR three (3) years of experience (with a Bachelor's degree) with: working with Business Intelligence (BI) and analytics tools; working with Extract, Transform, Load (ETL) processes; Structured Query Language (SQL); Alteryx, Python, or R; and Data visualization tools such as Tableau or PowerBI. Job Code: 9848325. Salary Range: The expected annual base salary for this New York, New York, United States-based position is $152,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end. Benefits: Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here: QUALIFIED APPLICANTS: Apply at gs.com and click on "Careers." NO PHONE CALLS PLEASE. ©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.