Operations Insights, Tax

2 months, 1 week ago
Full-time
Mid Level
Data Science and Analytics
Stripe

Stripe

Stripe is a global technology company that provides financial infrastructure for the internet. They offer a suite of APIs and tools for businesses to accept online and in-person payments, automate financial processes, and embed financial services in th...

Diversified Financial Services
5K-10K
Founded 2009
$8700M raised

Description

  • Conduct deep-dive analyses to understand changes in operational metrics, distinguish signal from noise, and identify root causes across filing operations, user operations, and risk workflows.
  • Partner with operations teams to analyze workflows, understand user behavior, and translate findings into actionable recommendations.
  • Refine metric definitions and improve data reliability to strengthen measurement of operational performance across the organization.
  • Apply statistical analysis to evaluate the impact of operational changes and experiments.
  • Build dashboards, systems, and self-serve reporting tools that enable teams to explore performance data independently and reduce recurring data requests.
  • Prepare clear operational insights for leadership reviews and strategic planning discussions.
  • Work at the intersection of data analysis, operations, and product insights to translate complex operational data into decisions and action.

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 such as Tableau, Looker, or similar tools.
  • Demonstrated ability to conduct investigations and identify root causes in operational data.
  • Clear communication skills with the ability to explain technical findings to non-technical audiences.
  • Comfort with ambiguity and ability to structure open-ended analytical problems.
  • Experience in tax operations, financial services, or regulated operational environments is preferred.
  • Familiarity with statistical analysis and experimentation frameworks is preferred.
  • Experience with Python or R for data analysis is preferred.
  • Background working closely with operations or product teams to improve processes is preferred.
  • Demonstrated ability to leverage AI and automation to transform data into actionable insights is preferred.

Interested in this position?

Apply directly on the company website

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