About the Company
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey.
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.
What will I be doing?
- Own and maintain foundational sales analytics data models.
- Build, maintain, and improve recurring reports and dashboards for sales metrics.
- Build and support sales compensation models.
- Partner with Finance and Sales Operations to translate compensation plans into reliable analytical outputs.
- Analyze sales performance trends, variances, and data-quality issues.
- Support reporting and analysis for recurring sales operating cadences.
- Work with Data Engineering and Business Systems to define requirements and troubleshoot reporting issues.
- Document data definitions, model logic, reporting processes, and assumptions.
- Partner with Sales, Finance, Operations, and Engineering stakeholders.
- Use AI tools to accelerate analysis, modeling, documentation, and problem-solving.
- Identify opportunities to improve the scalability, accuracy, and efficiency of sales reporting.
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.
- Basic to intermediate SQL skills.
- 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.
- Interest in sales performance, forecasting, compensation, productivity, and go-to-market operations.
- Ability to communicate analytical findings clearly.
- Strong collaboration skills.
- AI fluency: curiosity about using AI to improve analytical workflows.
- A growth mindset, intellectual curiosity, and willingness to ask questions.
- Comfortable and energized operating in a fast-moving organization.