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Goldman Sachs
Goldman Sachs

The Goldman Sachs Group, Inc

Global Banking & Markets - Salt Lake City - Vice President - 4750418 at Goldman Sachs

RoleData Analytics
LevelVp
LocationSalt Lake City, Utah, United States
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

Job Duties: Vice President with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Develop business intelligence solutions across Fees and Commissions Operations using capabilities such as Alteryx, SQL, Tableau, and Python. Provide end-to-end reporting and self-service analytics tools which produce a variety of key metrics related to Fees and Commissions Operations. Build and streamline ETL processes which integrate Global Markets data platforms. Manage business intelligence product SDLC within globally distributed Alteryx and Tableau server environments. Develop, prioritize, and communicate project plans end-to-end using JIRA; mentor junior developers on Agile development. Provide mentorship and feedback to junior team members, while managing competing priorities from a wide range of senior stakeholders. Partner with engineering teams to develop scalable business processes and automation to support Goldman Sachs clients. Develop and maintain high-performance dashboards using advanced Tableau (level of detail functions, context filters, and data blending).

Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Science, Mathematics, Statistics, Business Analytics, or related field and three (3) years of experience in the job offered or in a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Mathematics, Statistics, Business Analytics, or related field and five (5) years of experience in the job offered or in a related role. Prior experience must include three (3) years of experience (with a Master’s degree) OR five (5) years of experience (with a Bachelor’s degree) with: process Automation project development using tools like Alteryx, Informatica, SSIS for data transformation; developing and maintaining high-performance databases using advanced SQL (subqueries, window functions, and data design language), data architecture, and administration; business Intelligence and Digital Transformation; software Development Lifecycle utilizing GitHub to deploy solutions; JIRA project management tools, including core functions such as Epics, Stories, Tasks, and Story Points; and data Visualization tools such as Tableau or Qlikview.

©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.

Required skills

Business intelligence

SQL

Tableau

Python

ETL

Agile

Data visualization

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About Goldman Sachs

Goldman Sachs

The Goldman Sachs Group, Inc. is an American multinational investment bank and financial services company. Founded in 1869, Goldman Sachs is headquartered in the Battery Park City neighborhood of Manhattan in New York City, with regional offices in many international financial centers.

45,000+

Employees

Lower Manhattan

Headquarters

$80B

Valuation

Reviews

2 reviews

2.9

2 reviews

Work-life balance

2.5

Compensation

3.0

Culture

2.0

Career

4.0

Management

2.5

45%

Recommend to a friend

Pros

Amazing career growth opportunities

Chill management at some locations

Work-life balance valued in certain roles

Cons

Toxic workplace culture

Codependent atmosphere

Confusing interview process

Salary Ranges

20,304 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

6,923 reports

$112,993

total per year

Base

$97,759

Stock

-

Bonus

$15,234

$77,583

$166,892

Interview experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview process

1

Application Review

2

HR Screen/HireVue

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Decision

Common questions

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study