Data Analyst, Internal Audit

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an experienced Data Analyst to join our Internal Audit team. The Internal Audit function evaluates risk across the company and provides independent assurance to improve operational processes and ensure regulatory compliance. This individual will collaborate with Internal Audit teams and business partners to develop innovative data analytics solutions to support and enhance Internal Audit’s projects and initiatives.

What you'll be doing:

• Collaborate with audit and technology partners to source data for relevant systems from enterprise data lakes and data warehouses

• Develop queries and testing strategies, including techniques to confirm the completeness and accuracy of the data used

• Develop and implement data analytics solutions in SQL and Python, using both structured and unstructured data

• Present insights and recommendations through clear visualizations and data-driven storytelling

• Automate Internal Audit processes through repeatable analytics workflows and Robotic Process Automation (RPA) bots

• Support the training and development of team members to expand the team’s knowledge and ability to write queries and independently perform data analytics

• Implement advanced ML and AI techniques to improve audit testing and risk assessment capabilities

• Ensure overall quality and consistency of data analytics work, and alignment to department and professional standards for audits

What we need to see:

• 3+ years in data analytics and reporting, data science, or business intelligence

• Bachelor's or equivalent experience or Master’s degree in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Statistics, Economics, or related field

• Proficiency using SQL and Python for ETL and data analytics

• Proficiency using data visualization tools such as Tableau or Power BI

• Experience in clear and precise presentation of data analysis findings to both technical and non-technical partners

• Ability to balance multiple priorities and drive projects to completion with minimal direction

• Experience working on data analytics projects both independently as well as in multi-functional teams

• Good communication skills and interpersonal skills that allow interactions with team members and business partners

Ways to stand out from the crowd:

• Analytics experience in audit, compliance, or other risk management functions

• Experience working in technology-related companies

• Experience building and managing data pipelines in data lakehouse platforms such as Databricks or Snowflake

• Experience developing ML or AI solutions

• Background with RPA tools such as UiPath or Power Automate

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and if you're creative and autonomous, we want to hear from you! As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/.