Назад
2 дня назад

Operations Insights Analyst (Fintech)

112 700 - 169 100$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Operations Insights Analyst (Fintech): Analyzing operational performance and building reporting infrastructure for tax operations with an accent on data-driven decision-making and root cause analysis. Focus on developing self-serve observability tools and translating complex operational data into actionable leadership insights.

Location: Remote in United States

Salary: $112,700 - $169,100

Company

Stripe is a financial infrastructure platform for businesses that helps millions of companies accept payments, grow revenue, and accelerate new business opportunities.

What you will do

  • Conduct deep-dive analyses to identify root causes of metric changes in filing, user, and risk workflows.
  • Collaborate with operational teams to analyze workflows and provide actionable recommendations.
  • Refine metric definitions and strengthen data reliability to improve measurement rigor.
  • Apply statistical analysis to evaluate the impact of operational changes and experiments.
  • Develop dashboards and self-serve reporting tools using Tableau, Looker, or similar tools to enable operational observability.
  • Present clear operational insights to leadership for strategic planning and reviews.

Requirements

  • 3+ years of experience in operations analytics, business intelligence, or data analysis.
  • Strong SQL skills and experience working with large operational datasets.
  • Proficiency in building dashboards and reporting tools.
  • Proven ability to conduct root-cause investigations in operational data.
  • Strong communication skills for explaining technical findings to non-technical audiences.
  • Must be based in the United States.

Nice to have

  • 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.
  • Ability to leverage AI and automation to transform data into actionable insights.

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