Sales Data Analyst

Fin, now part of Salesforce, is 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, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.

Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.

Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.

What's the opportunity? 

As a Sales Data 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). 

#LI-Hybrid

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. 

Policies 

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.  

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.