What's the opportunity?
As a Sales Analytics Analyst, you will join our Sales Operations and GTM Analytics organization, partnering with Sales, Finance, Data Engineering, and Business Systems to make our sales data more reliable, accessible, and actionable.
You’ll help build and maintain the data models, reporting, and performance metrics that enable Fin to understand how our sales organization is performing. You’ll also contribute to compensation modeling and reporting, helping ensure that rep attainment and productivity are measured accurately and consistently.
This is an opportunity to develop deep expertise in sales analytics while working closely with technical and business partners. We’re looking for someone who is curious, detail-oriented, eager to learn, and excited to use data and AI thoughtfully to solve real operational problems.
What will I be doing?
- Own and maintain foundational sales analytics data models, partnering with Data Engineering to build new models and 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, including the reporting required to track rep performance and attainment.
- Partner with Finance and Sales Operations to translate compensation plans, business rules, and metric definitions into reliable analytical outputs.
- Analyze sales performance trends, variances, and data-quality issues to identify risks, opportunities, and areas for improvement.
- Support reporting and analysis for recurring sales operating cadences, including weekly, monthly, and quarterly business reviews.
- Work with Data Engineering and Business Systems to define requirements, troubleshoot reporting issues, and test improvements to sales data and systems.
- Document data definitions, model logic, reporting processes, and assumptions so that stakeholders can confidently use and interpret our metrics.
- Partner with Sales, Finance, Operations, and Engineering stakeholders to turn ambiguous questions into clear, data-backed recommendations.
- Use AI tools to accelerate analysis, modeling, documentation, and problem-solving while applying sound judgment and validating outputs before they inform business decisions.
- Identify opportunities to improve the scalability, accuracy, and efficiency of sales reporting and analytics processes.
What skills do I need?
- 0–2 years of experience in sales analytics, sales operations, business analytics, finance, data analysis, or a related field.
- A technical or quantitative background and an interest in working with data, systems, and business processes.
- Basic to intermediate SQL skills, with the ability to query, join, aggregate, and validate data across multiple sources.
- Experience with Excel or Google Sheets; familiarity with BI or visualization tools such as Tableau, Looker, or Power BI is a plus.
- Strong attention to detail and a commitment to data accuracy, particularly when working with compensation and performance metrics.
- Interest in sales performance, forecasting, compensation, productivity, and go-to-market operations.
- Ability to communicate analytical findings clearly to both technical and non-technical audiences.
- Strong collaboration skills and comfort partnering with Sales, Finance, Data Engineering, Business Systems, and other cross-functional teams.
- AI fluency: curiosity about using AI to improve analytical workflows, paired with the judgment to validate AI-generated logic, numbers, and recommendations.
- A growth mindset, intellectual curiosity, and willingness to ask questions, learn quickly, and take ownership of well-defined work.
- Comfortable and energized operating in a fast-moving organization where priorities and business questions evolve.
*Proof of eligibility to work in the United States is required.
The OTE range for candidates within the Bay Area is $85,500-$102,150. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
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