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Salt Lake City, Utah, United States
Hybrid
Role Overview
The Principal Data Analyst will play a key role in executing Filevine’s data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily analytics operations, deliver corporate metrics, and produce actionable insights to support operational excellence and strategic decision-making across the organization. This position requires a balance of strong technical proficiency, business acumen, and solid communication skills.
The ideal candidate will be a hands-on analytical practitioner who can design and deliver high-quality analyses while engaging confidently with executive stakeholders.
Work closely with the CEO on ad-hoc or other impromptu projects, providing rapid analytical support and insights.
Lead daily operations for the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and routine reporting.
Partner with functional leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives.
Conduct complex analyses that inform strategic priorities and operational decisions.
Build and maintain robust data pipelines and models within Domo, integrating data from Salesforce, Snowflake, HubSpot, the Filevine Platform, and other enterprise systems.
Ensure data integrity, consistency, and precision across all reporting outputs.
Implement frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention.
Communicate findings clearly to both technical and non-technical audiences, translating complex data into actionable business insights.
Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics outputs with organizational goals.
Bachelor’s degree in Data Analytics, Statistics, Business, Economics, or a related field.
4–6+ years of experience in data analytics or business intelligence, with experience leading ad-hoc projects.
Demonstrated ability to guide projects and support team development.
Expertise in SQL and hands-on experience working with large, complex data environments.
Strong proficiency with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker).
Solid understanding of Salesforce data structures and data integration practices.
Familiarity with SaaS business models and key financial metrics.
Strong communication skills with the ability to effectively present insights to senior stakeholders.
High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.
