Customer Success Analyst

1 hour, 33 minutes ago
Senior
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

  • Identify and scope new opportunities, processes, and projects with team-level impact.
  • Create reusable data products such as dashboards, data models, and code for future use across the organization.
  • Develop data pipelines, performance workbooks, metrics pipelines, and related analytics tooling.
  • Write code and use SQL to support data analysis and operational reporting.
  • Set priorities for technical and data opportunities, secure partner buy-in, and manage reprioritization.
  • Develop tools and agents that automate manual or repetitive Customer Success tasks.
  • Maintain analytics assets including metric definitions, technical documentation, query libraries, and other tooling.
  • Serve as a resource for understanding Customer Success datasets and their technical complexity.
  • Communicate complex technical concepts clearly to internal teams, cross-functional partners, and broader stakeholders.

Requirements

  • 3-8+ years of experience in Data Analysis, Business Intelligence Engineering, or Technical Customer Advisory roles.
  • Expertise in data visualization and using insights to make recommendations.
  • Proven ability to manage and deliver multiple projects with strong attention to detail.
  • Ability to clearly communicate results and drive impact.
  • Comfort collaborating across functions to identify analytics problems and execute solutions with technical rigor.
  • Familiarity with the card payments ecosystem.
  • Proven ability to build collaborative relationships and execute complex cross-functional projects.
  • Ability to work effectively in ambiguity and an unstructured, fast-moving environment.
  • Self-starter who can drive business results without significant supervision.
  • Excellent verbal and written communication skills.
  • Preferred: advanced SQL proficiency and intermediate Python and git skills.
  • Preferred: experience with data visualization, dashboard building, modeling, and reporting automation.

Interested in this position?

Apply directly on the company website

Apply Now

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