Responsibilities

Investigate operational performance: Conduct deep-dive analyses to uncover why metrics change, distinguish signal from noise, and identify root causes across filing operations, user operations, and risk workflows
Partner with operations teams: Work directly with operational teams to analyze workflows, understand user behavior, and translate findings into actionable recommendations
Improve measurement rigor: Refine metric definitions, ensure data reliability, and strengthen how we measure operational performance across the organization
Support experiments and improvements: Apply statistical analysis to evaluate the impact of operational changes and experiments
Enable operational observability: Create systems, dashboards, and self-serve reporting tools that allow operational teams to explore and interpret performance data on their own and reduce recurring data requests
Communicate insights to leadership: Prepare clear, compelling operational insights for leadership reviews and strategic planning discussions

Requirements

3+ years of experience in operations analytics, business intelligence, or data analysis
Strong SQL skills and experience working with large operational datasets
Experience building dashboards and reporting tools (e.g., Tableau, Looker, or similar)
Demonstrated ability to conduct investigations and identify root causes in operational data
Clear communication skills—able to explain technical findings to non-technical audiences
Comfort with ambiguity and ability to structure open-ended analytical problems

Experience in tax operations, financial services, or regulated operational environments
Familiarity with statistical analysis and experimentation frameworks
Experience with Python or R for data analysis
Background working closely with operations or product teams to improve processes
Demonstrated ability to leverage AI and automation to transform data in actionable insights