Asset & Wealth Management Operations - Data Analytics - Analyst, Chicago Chicago Analyst

Asset & Wealth Management Operations - Client Onboarding & Configuration
- Analyst, Chicago  Chicago, Illinois, United States

Opportunity Overview  CORPORATE TITLE Analyst language OFFICE LOCATION(S) Chicago assignment JOB FUNCTION Client Onboarding & Configuration  DIVISION Asset & Wealth Management  SALARY RANGE USD 55,000 - 80,000

We are seeking an experienced analyst level candidate to join our Data Analytics Team who demonstrates the ability to think critically, exhibit sound judgment and thrive in a fast-paced environment. In this capacity, you will contribute to developing the business intelligence capabilities and deliverables for the Client Operations organization.

Asset & Wealth Management (AWM) delivers innovative investment solutions through a global, multi-product platform. AWM is one of the pre-eminent investment management organizations globally. Critical to the success of AWM is our ability to leverage a global team of talented professionals to define solutions and lead change across the operational infrastructure.

Within AWM, Client Operations is a global sales aligned service organization that provides high quality service and solutions to shareholders. Through our client service model, Client Operations enables distribution of AWM investment products, provides consultative services, scale and controls, all with a focus on being accretive financially to the business.

Within Client Operations, the Data Analytics Team is responsible for reporting, analytics, and automation across Client Operations’ global footprint. Key deliverables will entail process automation, operational KPIs, and business reporting.

As a member of the Data Analytics Team, you will be responsible for a wide range of data analysis and business intelligence solutions.

Functional

Responsibilities include:

• Improving business & operational processes through codified automation and controls
• Developing and supporting the business intelligence codebase owned within Client Operations
• Owning the subject matter expertise behind the data and systems that underpin operational workflows
• Resolving production issues impacting analytics and reporting deliverables
• Partnering with Technology on improving our data and reporting capabilities
• Partnering with Client Operations business areas on identifying and scoping BI solutions

Bachelor’s degree in Computer Science, Engineering, Finance or related field.

• At least 2 years of experience with at least one year in the data science / business intelligence domain
• Experience in Python
• Experience in working with relational databases and SQL
• Experience in Tableau or similar reporting tool platform
• Ability to multitask while working under pressure. Managing multiple critical projects at a time along with daily production issues.
• Ability to explore large datasets and explain how data points directly relate to business processes
• Exhibits sound judgment and integrity

• Knowledge of Jira, Confluence, and Git
• Experience in Alteryx or similar workflow tool platform

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Learn more about our culture, benefits, and people at

The expected base salary for this Chicago, Illinois, United States-based position is $55000-$80000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.