Director of Data Analytics ›
Filevine
Data Science
Salt Lake City, UT, USA
Posted on Oct 30, 2025
What You'll Do
- Lead the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and board reporting.
- Manage and mentor a team of data analysts, fostering a culture of accuracy, accountability, and continuous improvement.
- Partner with executive leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives.
- Conduct and present 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.
- Develop frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention.
- Communicate findings clearly and persuasively to both technical and non-technical audiences, translating data into actionable business insights.
- Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics with organizational goals.
Qualifications & Experience
- Bachelor’s degree in Data Analytics, Statistics, Business, Economics, or a related field; advanced degree preferred.7+ years of experience in data analytics or business intelligence, including at least 2 years in a leadership role.
- Proven ability to manage and develop high-performing analytics teams.
- Expertise in SQL and demonstrated experience working with large, complex data environments.
- Hands-on experience with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker).
- Strong understanding of Salesforce data structures and data integration practices.
- Familiarity with SaaS business models and financial metrics.
- Exceptional communication skills with the ability to influence and engage executive stakeholders.
- High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.