运营洞察，税务
Operations Insights, Tax
我们是谁
关于 Stripe
Stripe 是一家面向企业的金融基础设施平台。数以百万计的公司——从全球最大的企业到最具雄心的初创公司——都使用 Stripe 来接受支付、增长收入并加速新的商业机会。我们的使命是提升互联网的 GDP，而我们还有大量工作要做。这意味着你有机会在职业生涯中从事最重要的工作，让全球经济触手可及。
关于团队
运营绩效与赋能团队通过数据驱动更好的决策和持续改进，来支持 TaxJar 产品和更广泛的税务运营团队。我们让性能可视化，决策更明确，改进可重复——通过早期发现洞察、将信号转化为行动，并构建系统使一次性解决方案变为可重复的能力，从而成为一种增效力量。我们的工作使税务运营组织能够稳定且有信心地扩展。
你会做什么
我们正在寻找一名运营洞察分析师，帮助我们理解并改进税务运营的扩展和交付方式。在这个职位上，你将调查运营表现，分析数据以发现有意义的模式，并构建报告基础设施，使团队能够做出更好的决策。你将在数据分析、运营和产品洞察的交汇点工作，将复杂的运营数据转化为清晰的见解，推动行动。
这个职位适合那些擅长深入分析稳健的运营数据、反复追问“为什么”，并构建帮助他人独立找到答案的系统的人。
职责
- 调查运营表现：进行深入分析，揭示指标变化的原因，区分信号与噪声，并在申报操作、用户操作和风险流程中识别根本原因
- 与运营团队合作：直接与运营团队合作，分析流程，了解用户行为，并将发现转化为可执行的建议
- 提升测量严谨性：优化指标定义，确保数据可靠性，并加强我们在整个组织中衡量运营表现的方式
- 支持实验和改进：应用统计分析评估运营变化和实验的影响
- 实现运营可见性：创建系统、仪表板和自助报告工具
查看英文原文
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