Product Analytics - Developer Experience, Bridge

Stripe

6d

About The Position

We are looking for a Product Analyst to join our Data team at Bridge. You'll own the data strategy for customer experience at Bridge, spanning two closely linked areas: Payments quality — transaction speed, uptime/reliability, error rates, and support ticket trends across our payment rails and products. Product experience — how customers interact with Bridge's dashboard, onboarding flows, and other surfaces, and where friction is costing us adoption or trust. This focus area may shift over time as the business evolves, and we're looking for someone who can adapt their scope accordingly — spinning up their knowledge of different product areas, creating new analyses and instrumentation as priorities emerge or change. This is a high-ownership seat: you'll be the primary data voice for your focal area, expected to identify what matters, build the pipelines and analysis to prove it, and drive decisions from insight through to shipped outcomes — with real latitude to define how you get there.

Requirements

• 6+ years of experience as a data analyst or in a similar analytics role, ideally at a payments, fintech, or high-growth technology company.
• Excellent SQL skills, with experience querying and modeling data in a modern warehouse/lakehouse environment (e.g., Databricks).
• Hands-on experience building and maintaining data pipelines and ETL processes, and comfort working with version control (GitHub) as part of a technical workflow.
• 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.

Nice To Haves

• Experience analyzing payments data specifically (transaction quality, uptime/reliability, support ticket trends) or product/UX data (onboarding, dashboard engagement, funnels).
• Programming experience (e.g., Python) and familiarity with data manipulation libraries (e.g., 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed