Job Duties: Associate, Analytics & Reporting with Goldman Sachs Services LLC in Salt Lake City, UT. Partner with Human Capital Management (HCM) and business stakeholders to define priorities and gather requirements for reporting and analytics, with a focus on identifying opportunities for employee listening initiatives. Conduct impact analyses of talent programs, specifically measuring the success of changes implemented based on employee feedback. Translate complex data insights, including those from employee listening programs, into clear and actionable recommendations for both technical and non-technical audiences. Design, launch, analyze, and manage employee surveys and other listening initiatives, ensuring data quality, validity, and actionable insights. Support data strategy and analytics for global talent processes, including year-end reporting for processes like Performance Ratings and Promotions.

Job Requirements: Masters degree (U.S. or foreign equivalent) in Business Analytics, Data Science, Management Science, or related analytical field, such as Industrial/Organizational Psychology or Human Resources, with one (1) year of experience in the job offered or in a related role OR Bachelors degree (U.S. or foreign equivalent) in Business Analytics, Data Science, Management Science, or related analytical field, such as Industrial/Organizational Psychology or Human Resources, with three (3) years of experience in the job offered or in a related role. Prior experience must include one (1) year of experience (if a Masters) or three (3) years of experience (if a Bachelors) in the following: driving multiple time-sensitive analytics projects excelling in solving complex analytics problems, data governance and controls, successfully managing ambiguity and unexpected change throughout project lifecycle; organizing and analyzing large datasets, interpreting results and succinctly presenting summarized analytical findings to various levels of detail, both verbally and in writing; working with advanced Excel functionalities for mass data manipulation and scenario modeling (such as Percentile, Rank, Index,  Match, IF Error, SumIF, CountIF, Nested IF-Else functions, excel ranges, excel tables, slicers and conditional formatting) and generating randomized sample sets; utilizing Microsoft PowerPoint for data visualization, and storytelling client service, and stakeholder management; conducting project management and assisting with planning, including risk management, and escalation handling; driving analytics projects from conceptualization to completion, including defining business objectives, identifying data requirements, determining appropriate analysis method, data preparation, exploratory analysis and modeling, evaluating results, visualizing and presenting results; working with predictive, descriptive, and inferential analysis, using statistical modeling techniques, such as correlation, regression, odds-ratio, statistical significance, standard deviation, mean, median, mode, variance; and working with Business Intelligence tools, including experience with one of the following: Python, Alteryx, or Tableau.

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.