Stripe

Operations Insights, Tax

Stripe$90K — $130K *
US-AnywhereRemote in United States
Legal & Accounting
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in operations analytics, business intelligence, or data analysis
  • Proficient in SQL and handling large datasets
  • Experience building dashboards with tools like Tableau or Looker
  • Strong root cause analysis skills in operational contexts
  • Effective communication with technical and non-technical audiences
  • Ability to navigate ambiguous analytical problems

Responsibilities

  • Investigate operational performance through deep-dive analyses
  • Partner with operational teams to optimize workflows and user behavior
  • Refine metric definitions for reliable performance measurement
  • Support operational changes with statistical experiment evaluation
  • Create dashboards and reporting tools for team self-service
  • Prepare insightful operational reports for leadership

Benefits

  • Opportunities for professional development and skill enhancement
  • Collaborative work environment with diverse teams
  • Access to advanced data analysis tools and technologies
  • Potential for creative influence on operational processes
  • Flexible work arrangements to support work-life balance
Full Job Description
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

About Stripe

Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies—use our software to accept payments and manage their businesses online. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Stripe powers businesses all over the world, from the new startup that just launched yesterday to the Fortune 500 companies that we all know and love. Stripe is headquartered in San Francisco, with offices in Dublin, London, Paris, Singapore, Tokyo, and more.
Learn more about Stripe
Size
4,000 employees
Industry
Founded
2010

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