Job Description

OUR IMPACT

Tax analyses and supports the activities, operations, reporting obligations and transactions of the firm’s business lines. We’re a team of specialists charged with managing the firm’s worldwide taxes. We are responsible for tax compliance, financial reporting of taxes, tax planning, business advisory and management of taxing authority examinations. Our work contributes directly to the firm’s success, and the division is ideal for creative and collaborative individuals who have strong ethics and attention to detail.

YOUR IMPACT

We are seeking a talented business and data intelligence professional to assist with design and implementation of Tax datasets within the Tax division.  As a data analyst and modeler, you will be working closely with our tax compliance and reporting teams and data engineers to implement and create canonical and Global Tax data models in order to streamline and support Global Tax level data management.

You will also be facilitating divisional adoption of the firm’s Data Governance Framework which will enable the business to operate efficiently. Your responsibilities will include

• Analyzing and translating business requirements into long term solution data models
• Evaluating existing data systems to create a Global Tax data model for Tax division
• Applying the data governance framework to ensure the design and implementation of business and technical rules produce the highest data quality with a trustworthy data pipeline to facilitate complex tax calculations and tax reporting obligations.
• Working closely with business partners and technology leaders to evaluate the key areas of data quality improvement
• Building automation and workflows to uplift data control gaps 
• Implementing data strategies and converting logical models into physical data models
• Facilitating and arbitrating the data quality issue resolution cross business and technology stakeholders including external vendors
• Working with data and analytics experts to strive for greater functionality in our data systems
• Working with Tax engineers with development, testing and production

SKILLS AND QUALIFICATIONS

• Bachelor’s degree in engineering, Computer Science or related disciplines
• 3+ years of experience
• Hands-on experience with one or more mainstream programming languages (Python, Java, C, Scala, C++, etc.).
• Proficiency with Microsoft Excel and SQL
• Experience in a visualization tool such as Tableau preferred
• Experience dealing with data (structured or unstructured) preferred
• Excellent communication skills and ability to work with various stakeholders
• Willingness to work in a fast paced environment
• Interest in applying technical knowledge to Financial Services industry
• Strong sense of ownership and driven to manage tasks to completion

PREFERRED QUALIFICATIONS

• Experience in working with databases (Oracle, Sybase IQ, Snowflake, Hadoop etc.)
• Experience with Alteryx

   

ABOUT GOLDMAN SACHS

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 GS.com/careers. 

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity