ALBUM

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.

Manage and mentor data analysts, supporting their technical growth and fostering a culture of accuracy, accountability, and continuous improvement.

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 or mentoring junior analysts/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.