Sales Operations Analyst

Responsibilities

• Own and maintain foundational sales analytics data models, partnering with Data Engineering to improve data quality.
• Build, maintain, and improve recurring reports and dashboards for sales metrics, attainment, productivity, and business performance.
• Build and support sales compensation models and reporting used to track representative performance and attainment.
• Translate compensation plans, business rules, and metric definitions into reliable analytical outputs with Finance and Sales Operations.
• Analyze sales performance trends, variances, and data-quality issues to identify risks, opportunities, and improvements.
• Support weekly, monthly, and quarterly sales operating reviews.
• Define requirements, troubleshoot reporting issues, and test improvements to sales data and systems with Data Engineering and Business Systems.
• Document data definitions, model logic, reporting processes, and assumptions.
• Turn ambiguous business questions into clear, data-backed recommendations for cross-functional stakeholders.
• Use AI tools to accelerate analysis, modeling, documentation, and problem-solving while validating outputs.
• Improve the scalability, accuracy, and efficiency of sales reporting and analytics processes.

Requirements

• 0–2 years of experience in sales analytics, sales operations, business analytics, finance, data analysis, or a related field.
• Technical or quantitative background and interest in data, systems, and business processes.
• Basic to intermediate SQL skills, including querying, joining, aggregating, and validating data across multiple sources.
• Experience with Excel or Google Sheets.
• Strong attention to detail and commitment to data accuracy, especially for compensation and performance metrics.
• Interest in sales performance, forecasting, compensation, productivity, and go-to-market operations.
• Ability to communicate analytical findings to technical and non-technical audiences.
• Strong collaboration skills across Sales, Finance, Data Engineering, Business Systems, and other teams.
• Curiosity about applying AI to analytical workflows and judgment to validate AI-generated logic, numbers, and recommendations.
• Growth mindset, intellectual curiosity, willingness to learn quickly, and ownership of defined work.
• Comfort working in a fast-moving organization with evolving priorities.
• Eligibility to work in the United States.

Nice to Have

• Familiarity with Tableau, Looker, or Power BI.

Compensation and Benefits

• Bay Area OTE: $85,500–$102,150.
• Eligible employees may receive a corporate bonus or sales incentive, with the target included in OTE, as well as Restricted Stock Units (RSUs).
• Benefits support health and wellbeing, family, time away from work, and financial needs.