Vice President, Data Analytics And Reporting

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.