Product Analytics - Developer Experience, Bridge

Details

Bridge is creating a payments platform built with stablecoins to simplify global money movement. The platform enables faster, cheaper cross-border payments through APIs, virtual accounts, and payouts infrastructure.

The Data team is looking for a Product Analyst to own the data strategy for customer experience across payments quality and product experience. The role focuses on analyzing transaction speed, uptime, reliability, error rates, support trends, dashboard usage, onboarding flows, and feature adoption. This is a high-ownership position requiring the ability to define metrics, build data pipelines and analyses, and drive decisions through to shipped outcomes.

Responsibilities

• Own data needs end-to-end by defining metrics, building data pipelines, and driving insights into decisions.
• Analyze payments quality signals, including latency, uptime, failure and error rates, support ticket volume, and support ticket themes.
• Analyze product and UX data, including dashboard usage, onboarding funnels, and feature adoption.
• Design, build, and maintain robust, well-documented data pipelines and ETL processes.
• Write and maintain production-quality SQL and pipeline code in Databricks.
• Version-control and review work through GitHub.
• Build and maintain dashboards and self-service tools for Product, Engineering, and Support teams.
• Partner with Product, Engineering, and Support/Operations to translate findings into product and process improvements.
• Proactively identify emerging issues and trends in payments quality or product experience.
• Improve data quality, documentation, and tooling as the product and company scale.

Requirements

Minimum Requirements

• 6+ years of experience as a data analyst or in a similar analytics role, ideally in payments, fintech, or a high-growth technology company.
• Excellent SQL skills and experience querying and modeling data in a modern warehouse or lakehouse environment such as Databricks.
• Hands-on experience building and maintaining data pipelines and ETL processes.
• Comfort using version control, including GitHub, as part of a technical workflow.
• Strong analytical and diagnostic skills, including the ability to investigate problems independently, identify root causes, and make clear recommendations.
• Experience building dashboards and visualizations for technical and non-technical stakeholders.
• Ability to work independently, take ownership of a focal area, and manage multiple priorities with minimal oversight.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience analyzing payments data, including transaction quality, uptime, reliability, and support ticket trends.
• Experience analyzing product or UX data, including onboarding, dashboard engagement, and funnels.
• Programming experience such as Python.
• Familiarity with data manipulation libraries such as pandas.
• Experience working in a fast-paced startup or high-growth environment.