
Sales Operations Analyst
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in California.
• Enhance the reliability and accuracy of forecasts for enterprise products, emphasizing forecasting support and actionable insights for strategic and OEM accounts.
• Utilize data insights to shape sales strategies, inform business decisions, and align with forecasting goals.
• Oversee global data reconciliation across CRM, financial, and forecasting systems.
• Validate data, address discrepancies, and ensure consistent, reliable reporting.
• Maintain data integrity in Salesforce and forecasting platforms.
• Administer product updates, manage system configurations, and conduct regular pipeline assessments.
• Develop metrics for evaluating forecasting performance efficiency, pipeline health, and data quality.
• Offer direct support to the sales team by managing pipeline data, resolving system issues, and providing training and resources.
• Assist with AI/ML forecasting initiatives, process automation, and enhancements in analytics.
• Collaborate effectively with sales leadership, global account managers, Finance, Marketing, and IT.
• Over 8 years of experience in Sales Operations, Business Operations, or Financial Analysis within a high-growth global tech environment.
• Bachelor’s degree or equivalent experience in business or a related field.
• Proven expertise in the sales forecasting process, data reconciliation, and improving operational processes.
• Strong analytical and communication abilities.
• Demonstrated experience in project management, including leading cross-functional teams and ensuring timely, on-scope delivery of comprehensive forecasting projects.
• Self-driven with excellent problem-solving capabilities, able to perform independently in a fast-paced setting.
• Advanced proficiency in Excel.
• Familiarity with Salesforce, SAP, and Integrated Business Planning (IBP).
• Experience with Python, SQL, or other data tools is advantageous.
• Prior experience in supporting software and SaaS product lines in forecasting or revenue planning is highly preferred.
• Practical experience or a strong interest in AI/ML applications for sales forecasting and analytics is highly desirable.
• Equity
• Benefits
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