Product Analytics Engineer—Customer Experience & Data

Stripe; San Francisco (CA); On-site; USD 162,000 - 242,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipend

Job summary

Bridge is seeking a Product Analyst to join our Data Team. You will own the data strategy for Customer Experience, spanning payments quality and product experience, and will shape metrics, pipelines, and instrumentation.

You will build robust ETL processes, write production-grade SQL in Databricks, and create dashboards for Product, Engineering, and Support to monitor customer experience. Candidates should have 6+ years in analytics and strong communication.

Qualifications

• 6+ years of experience as a data analyst or in a similar analytics role.
• Excellent SQL skills; experience querying and modeling data in a modern warehouse/lakehouse environment (Databricks).
• Hands-on experience building and maintaining data pipelines and ETL processes, and comfort working with version control (GitHub).
• Strong analytical and diagnostic skills — able to independently investigate a problem, identify root cause, and turn findings into a clear recommendation.
• Experience building dashboards and visualizations that communicate insights clearly to both technical and non-technical stakeholders.
• Demonstrated ability to work independently, take ownership of a focal area, and manage multiple concurrent priorities with minimal oversight.
• Strong written and verbal communication skills, with the ability to explain technical or data-driven findings to non-technical audiences.
• Preferred: Experience analyzing payments data or product/UX data.
• Programming experience (Python) and familiarity with data manipulation libraries (pandas).
• Experience working in a fast-paced startup or high-growth environment where priorities and scope shift with the business.

Responsibilities

• Own 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 — without needing significant hand-holding.
• Analyze 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.
• Analyze product and UX data (dashboard usage, onboarding funnels, feature adoption) to find opportunities to improve the customer journey.
• Design, 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.
• Write and maintain production-quality SQL and pipeline code in Databricks, with work version-controlled and reviewed via GitHub.
• Build and maintain dashboards and self-serve tools that let Product, Engineering, and Support teams monitor customer experience metrics without depending on ad hoc requests.
• Partner cross-functionally with Product, Engineering, and Support/Operations to translate findings into concrete product and process improvements.
• Proactively flag emerging issues or trends in payments quality or product experience before they become customer-facing problems.
• Continuously improve data quality, documentation, and tooling for your focal area as Bridge's product and scale evolve.

Skills

SQL

Analytics

GitHub

Python

Pandas

Communication

Tools

Databricks

Job description

Bridge is seeking a Product Analyst to join our Data Team. You will own the data strategy for Customer Experience, spanning payments quality and product experience, and will shape metrics, pipelines, and instrumentation.

You will build robust ETL processes, write production-grade SQL in Databricks, and create dashboards for Product, Engineering, and Support to monitor customer experience. Candidates should have 6+ years in analytics and strong communication.