Operations Insights, Tax

WHO WE ARE

ABOUT STRIPE

Stripe is a financial infrastructure platform for businesses. Millions of

companies—from the world’s largest enterprises to the most ambitious

startups—use Stripe to accept payments, grow their revenue, and accelerate new

business opportunities. Our mission is to increase the GDP of the internet, and

we have a staggering amount of work ahead. That means you have an unprecedented

opportunity to put the global economy within everyone’s reach while doing the

most important work of your career.

ABOUT THE TEAM

The Operations Performance & Enablement Team supports the TaxJar product and

broader Tax Operations teams by using data to drive better decisions and

continuous improvement. We make performance visible, decisions deliberate, and

improvement repeatable—acting as a force multiplier by uncovering insights

early, translating signals into action, and building systems that ensure

one-time fixes become repeatable capabilities. Our work enables the tax

operations organization to scale with stability and confidence.

WHAT YOU’LL DO

• We're looking for an Operations Insights analyst to help us understand and
• improve how our Tax operations scale and deliver. In this role, you'll
• investigate operational performance, analyze data to uncover meaningful
• patterns, and build reporting infrastructure that enables teams to make better
• decisions. You'll work at the intersection of data analysis, operations, and
• product insights—translating complex operational data into clear insights that
• drive action.

• 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.

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

WHO YOU ARE

We’re looking for someone who meets the minimum requirements to be considered

for the role. If you meet these requirements, you are encouraged to apply. The

preferred qualifications are a bonus, not a requirement.

• Curious investigator: You naturally ask "why" and don't stop until you

understand what's really happening

• Systems thinker: You see how operational pieces connect and look for leverage

points for improvement

• Builder mindset: You don't just answer questions — you build infrastructure

so teams can answer their own

• Clear communicator: You translate complex analysis into insights that drive

decisions

• Collaborative partner: You work effectively with varied operations teams,

product, engineering, and leadership

MINIMUM 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

PREFERRED QUALIFICATIONS

• 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