Internal Audit - Birmingham - Analyst / Associate - Data Engineer

Responsibilities

• Perform Database related activities - Data Modeling, Data Engineering, Dataernance and maintenance of Entitlements
• Obtain/Manage requirements that are tailored to each audit project and provide the results that can be used to provide insight to auditors in terms of sample selection, control gap identification,pleteness of data sources, and data integrity (, Data Blessing)
• Build production ready analytical tools to automate repeatable and reusable processes within IA using reporting tools such as Tableau, Spotfire or Qlikview
• Execute elected data analysis activities. Such activities may be defined as procedural or programmatic tasks related to the analysis, extraction, transformation, and uploading of data (structured and unstructured) (, ETL processes).
• Perform Data analysis activities that may also be supplemented by summarized technical narratives describing the integrity of specific automated controls.
• Write data analysis code ( Python, Java, or Slang)
• Identify areas for process standardization and implement automation techniques in applications used for audit process and Data Analytics
• Execute on Embed DA - Data strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions toplex problems
• Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing
• Build and manage relationships andmunications with Audit team members

Basic Qualifications
• 3+ years of experience with a minimum of bachelor's inputer science, Math, or Statistics
• Strong experience in RDBMS/ SQL
• Exposure to ETL Processes and Data Engineering
• Experience in implementing Data Quality measures and entitlement models
• Familiarity in programming languages such as Python
• Strong team player with excellentmunication skills (written and oral). Ability tomunicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks
• Self-driven and motivated to take up initiatives to improve our processes

Preferred Qualifications
• Experience with data analytics tools and techniques
• Experience with analytical/ statistical programs such as SAS, SPSS, and R
• Experience with visualization tools (Tableau, Spotfire or QlikView) is a plus
• Creativity/Innovation, , ability to create new ways to improve current processes and develop practical solutions that add value to department

About Goldman Sachs

At Goldman Sachs, wemit our people, capital and ideas to help our clients, shareholders and themunities 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'remitted 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 GS/careers.

We'remitted to finding reasonable amodations for candidates with special needs or disabilities during our recruiting process. Learn more: //goldmansachs/careers/footer/

© The Goldman Sachs Group, Inc., 2023. 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, veterans status, disability, or any other characteristic protected by applicable law. Job ID 300