Product Analytics - Developer Experience, Bridge
Stripe · N/A · 8504 Bridge - R&D · listed August 18, 2026
The shape of it
Seniority
Senior
Experience asked
6+ years
Where
Not stated
Requirements listed
7
Length
735 words
In the posting’s own words
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:
What it asks for · 7
- 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.
Also a plus
- 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.
What the job covers
- 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.
- 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.
Tools and skills named
Data
- Data pipelines2×
- Databricks2×
- ETL2×
- Data warehouse
- Pandas
Languages
- SQL2×
- Python
Product & design
- User experience2×
Frameworks
- Rails
Ways of working
- Technical writing
Words the posting leans on
- data14×
- experience12×
- product10×
- area7×
- customer6×
- payments6×
- dashboard5×
- pipelines5×
- bridge4×
- build4×
- focal area4×
- requirements4×
- business3×
- customer experience3×
- e.g3×
- findings3×
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