Senior Sales Forecasting & Analytics Analyst

NVIDIA; United States; On-site; USD 144,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a strategic Sales Operations Analyst to drive forecasting excellence across its global sales organization. You will support forecast accuracy improvements and lead projects to streamline operations, contributing AI/ML forecasting initiatives with cross-functional partners in Finance, Marketing, and IT.

The role emphasizes improving forecast reliability, guiding sales strategies with data insights, and leading data reconciliation across CRM, finance, and forecasting systems.

Qualifications

• 8+ years in Sales Operations, Business Operations, or Financial Analysis in a global high-growth tech environment.
• Bachelor's degree or equivalent; advanced degree preferred.
• Demonstrated expertise in sales forecasting, data reconciliation, and process improvement.
• Strong analytical and communication skills with ability to present insights to all levels of customers.
• Proven experience in project management, including leading cross-functional teams.

Responsibilities

• Improve forecast reliability for enterprise products and provide actionable insights for strategic and OEM accounts.
• Incorporate data insights to guide sales strategies and forecast objectives.
• Lead global data reconciliation across CRM, financial, and forecasting systems to validate data and reporting.
• Ensure data hygiene in Salesforce and forecasting platforms; manage updates and pipeline reviews.
• Establish metrics to measure forecasting performance, pipeline health, and data quality.

Skills

Analytical prowess

Communication skills

Project management

Data storytelling

Education

Bachelor's degree in business or related field

Advanced degree preferred

Tools

Excel

Salesforce

SAP

IBP

Python/SQL

Job description

NVIDIA seeks a strategic Sales Operations Analyst to drive forecasting excellence across its global sales organization. You will support forecast accuracy improvements and lead projects to streamline operations, contributing AI/ML forecasting initiatives with cross-functional partners in Finance, Marketing, and IT.

The role emphasizes improving forecast reliability, guiding sales strategies with data insights, and leading data reconciliation across CRM, finance, and forecasting systems.