[Remote] Operations Insights, Tax

Note: The job is a remote job and is open to candidates in USA. Stripe is a financial infrastructure platform for businesses, aiming to increase the GDP of the internet. They are seeking an Operations Insights analyst to investigate operational performance, analyze data, and build reporting infrastructure to enhance decision-making within their Tax operations.

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

Skills

• 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

Company Overview

Company H1B Sponsorship