Asset & Wealth Management, Business Analytics Associate
Quick summary
- Work type
- On-site
- Location
- New York, NY
- Salary
- $85,000–$160,000 / yr
- Posted
- today
- Nearby
- 99+ roles within 25 mi
Employer
About Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
Goldman Sachs currently has 187 open roles on FindRole.
Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.
Most-posted roles
- Asset & Wealth Management - Software Engineer - Vice President - Dallas 3
- AMD Public-New York-Vice President-Software Engineering 2
- Internal Audit, Technology Auditor-Investment Banking, Associate 2
- Senior Software Engineer, Global Banking & Markets, Front Office Technology 2
- AI Engineering, Vice President (New York, New Jersey, Toronto) 1
At a glance
TL;DR · Asset & Wealth Management, Business Analytics Associate
As a Data Engineer at Goldman Sachs Asset & Wealth Management, you will join a dynamic team responsible for managing and enhancing the firm’s extensive data infrastructure. Your daily tasks will include architecting scalable data pipelines, integrating diverse datasets from various sources, designing robust data models, and developing automated reports and dashboards to support strategic business needs. You will work with cloud platforms like AWS, Azure, or GCP, leveraging SQL and Python for data manipulation and analysis. Additionally, you will ensure data quality and governance standards are met while collaborating closely with senior leadership on future strategy development. This role requires a bachelor’s or master’s degree in computer science or related field, at least three years of hands-on experience in data engineering, and expertise in dimensional modeling and cloud technologies.
Skills
What you'll do
- Architect and maintain scalable data infrastructure ensuring high availability across platforms.
- Integrate diverse datasets from various sources, transforming them for downstream use.
- Design dimensional data models and load curated data into relational databases and warehouses.
- Develop automated reports and dashboards to support business needs and strategic initiatives.
- Generate and analyze performance metrics for management reporting, providing actionable insights.
- Prepare and operationalize data assets for machine-learning models, ensuring quality standards.
What we're looking for
- 3+ years of hands-on experience in data engineering or related field.
- Proven experience with AWS, Azure, or GCP cloud platforms.
- Strong proficiency in SQL and Python; familiarity with Scala or Java.
- Deep expertise in dimensional modeling and relational database design.
- Working knowledge of machine-learning workflows and model-serving architectures.
- Proficiency with dashboarding tools such as Tableau, Power BI, Alteryx.
- Understanding of data quality frameworks and metadata management practices.