Data Analyst, Internal Audit
US, CA, Santa Clara, United States
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.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/.
The base salary range is 116,000 USD - 184,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Tags: Business Analytics Business Intelligence Computer Science Data analysis Data Analytics Databricks Data pipelines Data visualization Economics Engineering ETL GPU Machine Learning Pipelines Power BI Python Robotics RPA Snowflake SQL Statistics Tableau Testing Unstructured data
Perks/benefits: Competitive pay Equity / stock options
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