Operations Insights, Tax

## About the Role The Operations Insights, Tax role is a critical part of Stripe's Operations Performance & Enablement Team, which supports the TaxJar product and broader Tax Operations teams. The team's primary goal is to use data to drive better decisions and continuous improvement, making performance visible, decisions deliberate, and improvement repeatable. As an Operations Insights analyst, you will investigate operational performance, analyze data to uncover meaningful patterns, and build reporting infrastructure that enables teams to make better decisions. This role is ideal for someone who excels at digging into robust operational data, asking 'why' repeatedly, and building systems that help others find answers independently. The tax operations organization is a key part of Stripe's financial infrastructure platform, and this role will play a crucial part in enabling the team to scale with stability and confidence.

## What You Will Do - 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 - Develop and maintain databases and data systems to support the collection, analysis, and reporting of operational data - Collaborate with cross-functional teams, including product and engineering, to drive process improvements and inform product development - Develop and implement data visualizations to help teams understand complex operational data

## What We Are Looking For - 3+ years of experience in operations analytics, business intelligence, or a related field - Proficiency in Excel and experience with data analysis and statistical modeling - Strong understanding of operational metrics and data-driven decision making - Experience working with cross-functional teams, including operations, product, and engineering - Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders - Strong problem-solving skills, with the ability to analyze complex data sets and identify insights - Experience with data visualization tools and techniques - Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science

## Nice to Have - Experience working in the financial technology or payments industry - Knowledge of programming languages, such as Python or SQL - Experience with data management and database development - Familiarity with agile development methodologies and version control systems - Experience with cloud-based data platforms and tools

## Benefits and Perks - Competitive salary and equity package - Comprehensive health, dental, and vision insurance - Flexible paid time off and vacation policy - Remote work stipend and support for home office setup - Professional development opportunities, including conference sponsorship and training programs - Access to a global network of professionals in the financial technology industry - Opportunity to work on complex and challenging problems that have a direct impact on the company's success

- Tip: Develop a strong understanding of operational metrics and data-driven decision making to stand out in this role.

• Tip: Showcase your ability to analyze complex data sets and identify insights, and be prepared to walk through your process during the interview.
• Tip: Highlight your experience working with cross-functional teams and collaborating with both technical and non-technical stakeholders.
• Tip: Be prepared to discuss your experience with data visualization tools and techniques, and how you have used them to communicate insights to stakeholders.
• Tip: Consider building a portfolio of your work, including examples of data analysis and visualization projects, to demonstrate your skills to potential employers.
• Tip: Don't be afraid to ask about the company culture and values during the interview, and be prepared to discuss how you align with them.
• Tip: Research the market rate for this role and be prepared to negotiate your salary based on your experience and qualifications.