Global Banking & Markets - Salt Lake City- Associate, Data Analytics & Reporting- 10273143

Goldman Sachs•Salt Lake, UT

3d•Onsite

About The Position

The Associate, Data Analytics & Reporting role at Goldman Sachs and Co. LLC in Salt Lake City, Utah, functions as a financial services business analyst. The primary responsibilities include performing and project managing data analytics, such as machine learning, monitoring portfolio health, and identifying opportunities to enhance operational excellence and customer experience. This role involves leveraging advanced modeling and machine learning techniques to build forecasting models, understand portfolio performance drivers, and implement improvements. The associate will also define functional requirements, service level objectives (SLOs), quality measurements, and use cases, conduct process re-engineering, and assist in solution implementation. Additionally, the role requires identifying and improving existing processes for efficiency, adhering to compliance guidance, providing analysis and design strategies for strategic projects, and ensuring the availability of desktop platforms and applications while considering system dependencies.

Requirements

Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Industrial Engineering, or related field.
Three (3) years of experience in the job offered or in a related role.
Three (3) years of experience working in a business analyst role within the financial services sector.
Three (3) years of experience defining functional requirements, service level objects (SLOs), quality-related measurements, and scenario-based use cases in support of a product or project management lifecycle.
Three (3) years of experience in process re-engineering and workflow design.
Three (3) years of experience working with desktop platforms and applications, ensuring overall availability, while factoring in upstream or downstream system dependencies.

Responsibilities

Perform and project manage data analytics, including machine learning.
Monitor portfolio health and identify opportunities for operational excellence and customer experience improvements.
Leverage advanced modeling techniques to build forecasting models.
Utilize machine learning techniques to understand drivers of portfolio performance trends and identify solutions.
Define functional requirements, service level objects (SLOs), quality-related measurements, and scenario-based use cases.
Conduct process re-engineering and workflow design.
Assist in the implementation of solutions to improve portfolio performance.
Identify, document, and improve existing processes to maximize efficiency.
Adhere to new compliance guidance through monitoring new client, business, and regulatory needs.
Provide analysis and design strategies for strategic projects.
Drive end-to-end project delivery.
Work with desktop platforms and applications to ensure overall availability, factoring in upstream or downstream system dependencies.