Product Analytics Engineer: UX and Payments Insights

Triwill Group; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Bridge is building a data-driven payments platform and seeks a Product Analyst to own the data strategy for customer experience. You will focus on payments quality and product experience - measuring latency, uptime, dashboards usage, and onboarding funnels to reduce friction and improve adoption.

You’ll design robust data pipelines and dashboards, write production SQL in Databricks, and partner with Product, Engineering, and Support to translate insights into product and process improvements.

Qualifications

• 6+ years as data analyst or similar analytics role, ideally in fintech or high-growth tech.
• Excellent SQL skills and experience in a modern warehouse/lakehouse environment.
• Hands-on data pipelines/ETL and version control with GitHub.

Responsibilities

• Own the data needs for your focal area end-to-end: define and refine metrics, source pipelines, and drive decisions.
• Analyze payments quality signals (latency, uptime, failure rates, support trends) to quantify friction.
• Analyze product/UX data (dashboard usage, onboarding funnels, feature adoption) to improve the customer journey.
• Design, build, and maintain robust data pipelines and ETL processes for accessible, trustable data.
• Write production-quality SQL and pipeline code in Databricks with version control.
• Build and maintain dashboards and self-serve tools for Product, Engineering, and Support.
• Partner cross-functionally to translate findings into product/process improvements.
• Flag emerging issues/trends and continuously improve data quality and tooling.

Skills

SQL proficiency

Data pipelines

Dashboards

Communication

Independent work

Tools

Databricks

Python

Job description

Bridge is building a data-driven payments platform and seeks a Product Analyst to own the data strategy for customer experience. You will focus on payments quality and product experience - measuring latency, uptime, dashboards usage, and onboarding funnels to reduce friction and improve adoption.

You’ll design robust data pipelines and dashboards, write production SQL in Databricks, and partner with Product, Engineering, and Support to translate insights into product and process improvements.