Sales Operations Data Analyst

NVIDIA•Santa Clara, CA

About The Position

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. Join the Enterprise Forecast Management team within Worldwide Field Operations and play a significant role in improving how we forecast, analyze, and scale our enterprise business. You will combine advanced analytics and automation to help transform forecasting from transactional reporting into strategic insight. In this role, you will improve and support forecasting procedures that guide NVIDIA’s enterprise operations. It blends operational activities with data insights and AI-based workflow tools. The team will shift focus from basic reporting to strategic evaluation. This position collaborates closely with sales management, finance teams, and technical members across the organization!

Requirements

8+ years of experience in Sales Operations, Revenue Operations, Business Operations, Data Analytics, or Financial Analysis within a technology or high-growth environment.
Bachelor’s degree or equivalent experience in Business, Economics, Analytics, Engineering, or a related quantitative field.
Proficiency in SQL expertise, with hands-on experience querying and redefining large datasets in platforms such as Databricks, Snowflake, or similar cloud data environments.
Consistent track record to break down complex business challenges — such as diagnosing forecast gaps — into clear, data-driven insights and root causes.
Strong executive interpersonal skills, with experience presenting analytical findings to sales and finance leaders.
Proven success leading early-stage AI transformations with autonomy and sound judgment in fast-paced environments.
High operational standards with a track record of reliably owning and improving recurring business workflows.
Solid understanding of Salesforce or similar CRM platforms, including pipeline and opportunity data structures.

Nice To Haves

Experience in Python for data manipulation, scripting, or extending analytical workflows.
Familiar with AI coding assistants, LLMs, or agentic AI tools to improve business processes and efficiency.
MBA or Master’s degree or equivalent experience in Analytics, Data Science, or a related quantitative field.
Background in enterprise B2B demand forecasting, revenue planning, or advanced sales analytics.
Experience building dashboards and visualizations using tools such as Tableau or Power BI.
Hands-on experience with Databricks or other modern cloud data platforms.
Demonstrated ability to automate manual processes using scripting, RPA, or no-code solutions.
Proven success in offering insights that impacted leadership decisions and boosted operational results.

Responsibilities

Lead and elevate enterprise forecasting cycles — prepare data, perform variance analysis, and communicate insights to sales leadership and finance partners.
Own pipeline data quality and integrity across CRM and analytics platforms by designing and maintaining robust validation workflows.
Build and implement AI-powered workflows that automate recurring analysis, reporting, and operational tasks, enabling the team to focus on high-impact strategy.
Deliver strategic insights by conducting deep-dive analyses to uncover forecast drivers, pipeline trends, risks, and growth opportunities.
Identify and eliminate operational bottlenecks by driving scalable process improvements that increase efficiency and decision velocity.
Partner cross-functionally with Sales, Finance, and IT to align forecasting data, systems, and business processes.