Sales Operations Analyst

This is a fully remote position, open to applicants in California.

📋 Description

• Enhance the reliability and precision of forecasts for enterprise products while delivering actionable insights for strategic accounts.

• Leverage data insights to shape sales strategies, guide business decisions, and align with forecasting goals.

• Oversee global data reconciliation across CRM, financial, and forecasting systems.

• Validate data, address discrepancies, and ensure consistent and reliable reporting.

• Uphold data integrity in Salesforce and forecasting platforms through product updates, system configurations, and routine pipeline reviews.

• Set metrics for evaluating forecasting performance efficiency, pipeline health, and data quality.

• Identify opportunities for process enhancements.

• Assist the sales team by managing pipeline data, resolving system issues, and providing training and tools.

• Contribute to AI/ML forecasting, process automation, and analytics enhancement projects.

• Collaborate with sales leadership, global account managers, Finance, Marketing, and IT.

⛳️ Requirements

• Over 8 years of experience in Sales Operations, Business Operations, or Financial Analysis within a rapidly growing global tech setting.

• Bachelor's degree or equivalent experience in business or a related discipline.

• An advanced degree is highly preferred.

• Proficiency in sales forecasting processes, data reconciliation, and operational process enhancement.

• Strong analytical and communication abilities; capable of translating complex data into actionable insights and presenting them to all customer levels.

• Proven project management skills with experience leading cross-functional teams and delivering comprehensive forecasting projects on time and within scope.

• Self-driven with outstanding problem-solving abilities and a capacity to work independently in a dynamic environment.

• Advanced proficiency in Excel.

• Familiarity with Salesforce, SAP, and Integrated Business Planning (IBP).

• Experience with Python, SQL, or other data tools is an advantage.

• Background in supporting software and SaaS product lines in forecasting or revenue planning is highly preferred.

• Direct experience or strong interest in AI/ML applications for sales forecasting and analytics is highly desirable.

• A proven track record of providing insights that influence strategic decision-making.

• Strong leadership capabilities with experience in leading cross-functional projects.

• Adaptability and proactive problem-solving skills.

• Practical experience in supporting AI/ML forecasting models and sales process automation.

🏝️ Benefits

• Equity

• Benefits

• Inclusive work environment

• Equal opportunity employer