HCM - Salt Lake City - Associate, Analytics & Reporting – 9312745

Goldman Sachs • Salt Lake, UT

13d • Onsite

About The Position

This role involves partnering with Human Capital Management (HCM) and business stakeholders to define priorities and gather requirements for reporting and analytics, with a specific focus on identifying opportunities for employee listening initiatives. The position will conduct impact analyses of talent programs, measuring the success of changes implemented based on employee feedback. A key responsibility is translating complex data insights, including those from employee listening programs, into clear and actionable recommendations for both technical and non-technical audiences. The role also includes designing, launching, analyzing, and managing employee surveys and other listening initiatives, ensuring data quality, validity, and actionable insights. Additionally, the Associate will support data strategy and analytics for global talent processes, including year-end reporting for processes like Performance Ratings and Promotions.

Requirements

• Master’s 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 Bachelor’s 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.
• One (1) year of experience (if a Master’s) or three (3) years of experience (if a Bachelor’s) in driving multiple time-sensitive analytics projects.
• Excelling in solving complex analytics problems.
• Experience with 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.
• Working with Business Intelligence tools, including experience with one of the following: Python, Alteryx, or Tableau.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level