Stripe5 days ago

Product Analytics - Developer Experience, Bridge

Salary not specified
MARKET
15,031median for this role
Product Manager · 55 jobs with disclosed pay
5,667half of the offers: 12,166–24,398130,000
The employer didn't disclose pay — compare with the market yourself.
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Responsibilities

  • 01Own the data needs for your focal area end-to-end: define and refine the right metrics, build the pipelines to source them, and drive them into decisions
  • 02Analyze payments quality signals (latency, uptime, failure/error rates, support ticket volume and themes) to identify where customers are experiencing friction and quantify the business impact
  • 03Analyze product and UX data (dashboard usage, onboarding funnels, feature adoption) to find opportunities to improve the customer journey
  • 04Design, build, and maintain robust, well-documented data pipelines and ETL processes that make customer experience data easy to access, trust, and query across the company
  • 05Write and maintain production-quality SQL and pipeline code in Databricks, with work version-controlled and reviewed via GitHub
  • 06Build and maintain dashboards and self-serve tools that let Product, Engineering, and Support teams monitor customer experience metrics without depending on ad hoc requests
  • 07Partner cross-functionally with Product, Engineering, and Support/Operations to translate findings into concrete product and process improvements
  • 08Proactively flag emerging issues or trends in payments quality or product experience before they become customer-facing problems
  • 09Continuously improve data quality, documentation, and tooling for your focal area as Bridge's product and scale evolve

Requirements

  • 016+ years of experience as a data analyst or in a similar analytics role, ideally at a payments, fintech, or high-growth technology company
  • 02Excellent SQL skills, with experience querying and modeling data in a modern warehouse/lakehouse environment (e.g., Databricks)
  • 03Hands-on experience building and maintaining data pipelines and ETL processes, and comfort working with version control (GitHub) as part of a technical workflow
  • 04Strong analytical and diagnostic skills — able to independently investigate a problem, identify root cause, and turn findings into a clear recommendation
  • 05Experience building dashboards and visualizations that communicate insights clearly to both technical and non-technical stakeholders
  • 06Demonstrated ability to work independently, take ownership of a focal area, and manage multiple concurrent priorities with minimal oversight
  • 07Strong written and verbal communication skills, with the ability to explain technical or data-driven findings to non-technical audiences