Job Duties: Vice President, Data Analytics & Reporting with Goldman Sachs Services LLC in Dallas, Texas. Analyze large and complex datasets to perform exploratory and advanced data analysis, applying established experimentation and analytical best practices, and identifying, escalating, and resolving data, system, and algorithm performance issues. Design, develop, and implement Business & Artificial Intelligence applications, including defining and monitoring performance and risk indicators, and present analytical outcomes to stakeholders. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards that will support divisional business and analytical needs. Collaborate with cross-functional solution experts and advisors to share analytical approaches and reusable code through showcasing outputs, and lead stakeholder engagements to identify and implement low-code and automation opportunities. Manage and track analytics initiatives, extend and modify analysis and development based on observations of data, process limitations and implications of outcomes.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Management Information Systems, or related field and three (3) year of experience in job offered or in a related Data Analytics role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Management Information Systems, or related field and five (5) years of experience in job offered or in a related Data Analytics role. Prior work experience must include three (3) years of experience (with a Master’s degree) OR five (5) years of experience (with a Bachelor’s degree) in the following: applying data analytics techniques across multiple concurrent data initiatives, involving at least three (3) projects at a time, where the projects are in either a financial services context or a human capital management (HCM) context; designing and delivering ETL (Extract, Transform, Load) development of database objects, SQL (Structured Query Language) queries and data analytic capabilities in cloud rational database platforms (such as Snowflake), traditional rational database platforms (such as Microsoft SQL Server) and centralized repository (such as Data Lake); developing, maintaining and managing data driven dashboards and analytics using commercial data visualization tool kit, including experience with one of the following: Tableau, Power BI or Qlikview; building and enhancing business intelligence applications, including automation, process optimization, data analysis, data visualizations, and report creations, using Alteryx or Power BI; utilizing Python for data processing, web scraping, and generating reports; and designing, developing, and optimizing robust data models, including conceptual, logical, and physical, to support financial analytics and reporting, ensuring data integrity, scalability, and performance.
©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.
Skills Required
- Master's degree in Computer Science, Computer Engineering, Management Information Systems, or related field and 3 years of relevant experience OR Bachelor's degree and 5 years of relevant experience
- Experience applying data analytics techniques across multiple concurrent initiatives (at least three projects) in financial services or HCM contexts
- Designing and delivering ETL development, database objects, and SQL queries in cloud relational platforms (e.g., Snowflake), traditional relational platforms (e.g., Microsoft SQL Server), and centralized repositories (e.g., Data Lake)
- Developing, maintaining, and managing data-driven dashboards and analytics using commercial visualization tools such as Tableau, Power BI, or QlikView
- Building and enhancing business intelligence applications, automation, process optimization, and report creation using Alteryx or Power BI
- Proficiency with Python for data processing, web scraping, and report generation
- Designing, developing, and optimizing conceptual, logical, and physical data models to support analytics and reporting with integrity and performance
- Ability to analyze large, complex datasets, apply experimentation and analytical best practices, and resolve data/system/algorithm performance issues
Goldman Sachs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.
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Healthcare Strength — Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
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Parental & Family Support — Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
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Retirement Support — The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.
Goldman Sachs Insights
What We Do
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com
