Sales Operations Analyst

NVIDIA Corporation; Santa Clara (CA); On-site; USD 92,000 - 196,000; Full time

Job summary

Join a forward-thinking company as a Sales Operations Analyst, where you'll drive forecasting excellence and process optimization. Collaborate with sales leadership and cross-functional teams to enhance data integrity and deliver actionable insights. Your expertise in sales forecasting and advanced analytics will be pivotal in shaping strategic decisions and improving operational efficiency. This role offers the chance to work in a dynamic environment, contributing to innovative AI/ML projects and ensuring the success of enterprise products. If you are self-motivated and thrive in a fast-paced setting, this is the opportunity for you!

Benefits

Equity

Comprehensive benefits package

Flexible work environment

Professional development opportunities

Qualifications

• 5+ years in Sales Operations within a high-growth tech environment.
• Strong expertise in sales forecasting and operational process improvement.
• Advanced data analysis skills to drive actionable insights.

Responsibilities

• Improve forecast accuracy for enterprise products and provide insights.
• Lead data reconciliation across systems to ensure reliable reporting.
• Support AI/ML initiatives and process automation for sales forecasting.

Skills

Sales Operations

Business Operations

Financial Analysis

Analytical Skills

Communication Skills

Project Management

Problem-Solving

AI/ML Applications

Education

Bachelor’s degree in Business or related field

Advanced degree

Tools

Salesforce

SAP

Integrated Business Planning (IBP)

Excel

Python

SQL

Job description

We are seeking a strategic Sales Operations Analyst to drive forecasting excellence, process optimization, and advanced analytics initiatives across our global sales organization. In this role, you will support forecast accuracy improvements, lead sophisticated projects to streamline operational efficiency, and contribute AI/ML forecasting initiatives. You will collaborate closely with sales leadership, global account managers, and cross-functional partners in Finance, Marketing, and IT to ensure data integrity, deliver actionable insights, and align sales strategies with business goals!

What You Will Be Doing

• Improve forecast reliability and accuracy for enterprise products, with a focus on Software, Cloud, and SaaS, and provide actionable insights for strategic accounts.
• Incorporate data insights to guide sales strategies, inform business decisions, and align with forecasting objectives.
• Lead global data reconciliation across CRM, financial, and forecasting systems to validate data, resolve discrepancies, and ensure consistent, reliable reporting.
• Ensure data hygiene in Salesforce and forecasting platforms by managing product updates, system configurations, and conducting regular pipeline reviews.
• Establish metrics to measure forecasting performance efficiency, pipeline health, and data quality, pinpointing areas for process improvements.
• Provide hands-on support to the sales team by managing pipeline data, troubleshooting system issues, and delivering training and tools to enable efficient forecasting workflows.
• Support forecasting projects, including AI/ML initiatives, process automation, and analytics improvements to improve sales projections and operational scalability.
  

What We Need to See

• 5+ years of experience in Sales Operations, Business Operations, or Financial Analysis in a global high-growth tech environment.
• Bachelor’s degree or equivalent experience in business or related field, advanced degree is highly preferred.
• Demonstrated expertise in sales forecasting process, data reconciliation, and operational process improvement.
• Strong analytical and communication skills with the ability to translate complex data into actionable insights and effectively present them to all levels of customers.
• Proven experience in project management, including leading cross-functional teams and ensuring timely, within-scope delivery of end-to-end forecasting projects.
• Self-motivated with excellent problem-solving skills, able to work independently in a fast-paced environment.
• Advanced Excel and proficiency in Salesforce, SAP, and Integrated Business Planning (IBP), experience with Python, SQL, or other data tools is a plus.
• Background in supporting software and SaaS product lines in forecasting or revenue planning is highly preferred.
• Hands-on experience or strong interest in AI/ML applications for sales forecasting and analytics is highly desirable.
  

Ways to Stand Out from the Crowd

• Demonstrated history of providing valuable insights that directly impact strategic decision-making.
• Strong leadership skills with experience leading cross-functional projects to drive alignment and operational improvements.
• Adaptable to uncertainty and proactive in solving challenges, driving innovative and actionable solutions.
• Practical experience supporting AI/ML forecasting models and sales process automation to improve operational efficiency and forecast capabilities.
  

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 92,000 USD - 195,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

We are seeking a strategic Sales Operations Analyst to drive forecasting excellence, process optimization, and advanced analytics initiatives across our global sales organization. In this role, you will support forecast accuracy improvements, lead sophisticated projects to streamline operational efficiency, and contribute AI/ML forecasting initiatives. You will collaborate closely with sales leadership, global account managers, and cross-functional partners in Finance, Marketing, and IT to ensure data integrity, deliver actionable insights, and align sales strategies with business goals!

What You Will Be Doing

• Improve forecast reliability and accuracy for enterprise products, with a focus on Software, Cloud, and SaaS, and provide actionable insights for strategic accounts.
• Incorporate data insights to guide sales strategies, inform business decisions, and align with forecasting objectives.
• Lead global data reconciliation across CRM, financial, and forecasting systems to validate data, resolve discrepancies, and ensure consistent, reliable reporting.
• Ensure data hygiene in Salesforce and forecasting platforms by managing product updates, system configurations, and conducting regular pipeline reviews.
• Establish metrics to measure forecasting performance efficiency, pipeline health, and data quality, pinpointing areas for process improvements.
• Provide hands-on support to the sales team by managing pipeline data, troubleshooting system issues, and delivering training and tools to enable efficient forecasting workflows.
• Support forecasting projects, including AI/ML initiatives, process automation, and analytics improvements to improve sales projections and operational scalability.
  

What We Need to See

• 5+ years of experience in Sales Operations, Business Operations, or Financial Analysis in a global high-growth tech environment.
• Bachelor’s degree or equivalent experience in business or related field, advanced degree is highly preferred.
• Demonstrated expertise in sales forecasting process, data reconciliation, and operational process improvement.
• Strong analytical and communication skills with the ability to translate complex data into actionable insights and effectively present them to all levels of customers.
• Proven experience in project management, including leading cross-functional teams and ensuring timely, within-scope delivery of end-to-end forecasting projects.
• Self-motivated with excellent problem-solving skills, able to work independently in a fast-paced environment.
• Advanced Excel and proficiency in Salesforce, SAP, and Integrated Business Planning (IBP), experience with Python, SQL, or other data tools is a plus.
• Background in supporting software and SaaS product lines in forecasting or revenue planning is highly preferred.
• Hands-on experience or strong interest in AI/ML applications for sales forecasting and analytics is highly desirable.
  

Ways to Stand Out from the Crowd

• Demonstrated history of providing valuable insights that directly impact strategic decision-making.
• Strong leadership skills with experience leading cross-functional projects to drive alignment and operational improvements.
• Adaptable to uncertainty and proactive in solving challenges, driving innovative and actionable solutions.
• Practical experience supporting AI/ML forecasting models and sales process automation to improve operational efficiency and forecast capabilities.
  

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 92,000 USD - 195,500 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.

About Us

NVIDIA is the world leader in accelerated computing.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.