Role Summary:

The Sales Analyst will be responsible for driving sales intelligence and performance visibility across the sales organization. This role involves analyzing and reporting on SaaS sales KPIs, pipeline health, and rep performance. The ideal candidate brings a solid understanding of SaaS sales metrics and modern dashboarding best practices, and is eager to grow into a senior analytics role by learning the full depth of our business — from pipeline generation through closed-won and beyond. This role will report directly to the Director of Data Analytics, but will primarily focus on the needs of the SVP of Revenue Operations. The ideal candidate will come in with a strong knowledge of SaaS metrics and will be self-sufficient and independently research our data to give recommendations, analysis, and findings directly to executive leadership.

Responsibilities:

Sales Performance Reporting — Own and execute reporting for core SaaS sales KPIs including quota attainment, win/loss rates, average deal size, sales cycle length, pipeline coverage, forecast accuracy, and rep productivity. Partner with Sales Leadership and Revenue Operations to troubleshoot data discrepancies and evolve reporting as business needs shift. Business Intelligence & Dashboarding — Perform ad-hoc analyses to support Sales Leadership and Revenue Operations teams. Translate complex data into clear, compelling visual stories that drive decision-making. Design, develop, and maintain sales performance dashboards in DOMO, applying strong dashboarding principles (clear hierarchy, actionable metrics, appropriate drill-downs, minimal noise). Pipeline & Forecast Analytics — Serve as the go-to analyst for pipeline and forecast reporting — tracking stage-over-stage progression, identifying deal slippage and bottlenecks, and surfacing insights that help sales leadership optimize resource allocation and coaching efforts. Develop and maintain KPI definitions and measurement frameworks aligned to SaaS best practices. Workflow Automation & Data Operations — Build and maintain automated data feeds, alerts, and notification workflows within DOMO. Streamline recurring reporting processes to reduce manual effort and improve data freshness. Support DOMO administration, staying current with platform releases and capabilities.

Qualifications:

Independent Analytics & Reporting — You must be a driven self-starter who is eager to do independent analysis and confident in reporting back to executive leadership with your findings. You will be expected to be doing analysis on your own, without prompt, and find opportunities to improve the revenue cycle on a regular basis Executive Communication — You should be able to concisely report back to executive leadership your own conclusions and findings from the analysis that you perform. You should understand how to present your findings with appropriate backup, without just drowning your stakeholder in charts and tables. SaaS Sales Metrics — Solid working knowledge of key SaaS sales

KPIs:

quota attainment, win rate, pipeline coverage ratios, average sales cycle, deal velocity, ARR/MRR, churn, and forecast accuracy. You should be able to speak fluently about what these mean and why they matter. Nice To Have DOMO — Strong hands-on experience with DOMO is preferred. You should be comfortable building dashboards in some BI tooling, if it's Domo that's even better. Salesforce — Working knowledge of Salesforce data structures is a major plus for integration and pipeline reporting, but not required. SQL — Basic familiarity with SQL concepts is a plus. This role won't require query writing initially, but a foundational understanding will serve you well as you grow into more advanced analytics over time.

Compensation Information:

$80,000

$100,000 The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual's location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity
the range listed is just one component of Filevine's total compensation package for employees.

This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. This role is designed for someone who wants to grow with the company. You'll start by owning sales analytics and progressively expand into broader business intelligence as you learn the nuances of our data, our customers, and our operations. We're looking for curiosity and ambition — not just someone who can build a dashboard, but someone who asks why the numbers look that way. Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine's equal employment opportunities, you may contact us at [email protected]

Cool Company Benefits:

A dynamic, rapidly growing company, focused on helping organizations thrive
Medical, Dental, & Vision Insurance (for full-time employees)
Competitive & Fair Pay
Maternity & paternity leave (for full-time employees)
Short & long-term disability
Opportunity to learn from a dedicated leadership team
Top-of-the-line company swag Privacy Policy Notice Filevine will handle your personal information according to what's outlined in our .

Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using \"filevine.com\". Other addresses reaching out are not affiliated with Filevine and should not be responded to. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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