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HomeCompaniesHdpc Fa Us2 Oraclecloud Com CX 3002HCM - Salt Lake City - Associate, Analytics & Reporting – 9312745

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

Hdpc Fa Us2 Oraclecloud Com CX 3002 · Salt Lake City, UT, United States · Deleted · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyHdpc Fa Us2 Oraclecloud Com CX 3002
TitleHCM - Salt Lake City - Associate, Analytics & Reporting – 9312745
Normalized title-
Department / teamAssociate
LocationSalt Lake City, UT, United States
Work model-
Employment type-
Salary-
Statusdeleted
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-04-30 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-04

Related slices

PageWhat it containsOpen
Company jobsActive postings from Hdpc Fa Us2 Oraclecloud Com CX 3002.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Salt Lake City.Open
Department jobsActive postings in Associate.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHdpc Fa Us2 Oraclecloud Com CX 3002
Source6c2fc4b4-b977-4fca-ad16-3207bde507b7
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description 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: 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. Prior experience must include one (1) year of experience (if a Master’s) or three (3) years of experience (if a Bachelor’s) 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.

Full job record

Job ID2565b3fd968da1694ac380267b614aa1893f254d
Org IDbe11fab8-3f8a-45d7-b0b8-f801e8cc9e3b
Source ID6c2fc4b4-b977-4fca-ad16-3207bde507b7
Board ID6c2fc4b4-b977-4fca-ad16-3207bde507b7
Provideroracle_hcm
Provider Job Key171638
TitleHCM - Salt Lake City - Associate, Analytics & Reporting – 9312745
Normalized Title
Statusdeleted
Activeno
Location TextSalt Lake City, UT, United States
DepartmentAssociate
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionUT
CitySalt Lake City
Salary RawDescription 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: 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. Prior experience must include one (1) year of experience (if a Master’s) or three (3) years of experience (if a Bachelor’s) 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.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3002/job/171638
Apply URLhttps://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3002/job/171638
First Seen At2026-05-31 18:05:01Z
Last Seen At2026-06-04 10:46:18Z
Last Checked At2026-06-06 20:40:56Z
Last Changed At2026-06-06 20:40:56Z
Inactive At2026-06-06 20:40:56Z
Source Posted At2026-04-30 12:15:02Z
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=oracle_hcm/board=hdpc.fa.us2.oraclecloud.com|CX_3002/date=2026-06-04/2026-06-04T10-44-50-180Z-903617627214e501e5f37266df589a58de5c434b311e2a303fc488e459631146.json
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Parsed Structured
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Extensions
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Native Structured
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