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Benefits & Perks
•Parental leave
•Competitive salary and equity package
•Team events and activities
•Comprehensive health, dental, and vision insurance
•Flexible work arrangements
•Professional development budget
•Parental Leave
•Equity
•Healthcare
•Flexible Hours
•Learning
Required Skills
PostgreSQL
JavaScript
React
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Payment Intelligence Engineering’s purpose is to mitigate threats to our systems in order to keep our merchants, Stripe and financial partners safe. We empower global businesses with intelligent solutions for conversion and fraud prevention, leveraging consumer intelligence and transparent ML to maximize growth and build trust. Our Payments Intelligence portfolio delivers actionable insights to all user segments.
The Payments Health Technical Operations team is pioneering new ways to achieve this mission. Our dynamic team relies on the expertise of integration reliability engineers and data analysts to identify gaps and build comprehensive solutions in the ever changing arena of fraud prevention.
What you’ll do
Responsibilities
-
Develop and maintain SQL queries to analyze and navigate complex financial data effectively.
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Enhance overall observability by identifying gaps and proposing actionable insights to improve our monitoring systems.
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Actively hunt for patterns and anomalies in data that could indicate potential threats or operational issues.
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Collaborate with cross-functional teams to consolidate and gather relevant data for informed engineering efforts.
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Design and implement comprehensive dashboards for real-time visibility into key metrics and system health.
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Establish and refine key performance indicators (KPIs) to track progress and improvements over time.
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Support the creation and maintenance of observability frameworks to ensure early detection of issues.
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Contribute to efforts that reduce organizational toil by optimizing data analysis processes.
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Communicate findings and insights clearly to both technical and non-technical stakeholders.
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Stay updated with industry trends in data analysis and financial data handling to ensure best practices.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
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Have 5+ years of experience in Payments at a leading technology or payments company
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Have experience writing SQL to query relational databases
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Have experience managing communications and workflows with technical and non-technical teams across internal and external stakeholders
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Experience mentoring junior team members in technical skill development, operational strategy and problem solving
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Have experience navigating the nuanced complexity of financial systems and solving large scale, technical challenges
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Have strong financial modeling and analytical skills to investigate, prioritize, and identify the root cause of issues
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Have experience managing multiple, concurrent work streams, identifying and triaging technical issues and driving solutions with clear metrics to show impact
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About Stripe

Stripe
Late StageFinancial infrastructure for the internet
8,000+
Employees
South San Francisco
Headquarters
$50B
Valuation
Reviews
2.3
25 reviews
Work Life Balance
2.1
Compensation
4.2
Culture
1.8
Career
3.0
Management
1.9
25%
Recommend to a Friend
Pros
High compensation and competitive pay
Smart and brilliant coworkers
Challenging and rewarding technical work
Cons
Toxic and broken culture
Poor work-life balance and overworking
Layoffs and job instability
Salary Ranges
1,265 data points
Junior/L3
Mid/L4
Junior/L3 · Data Analyst
3 reports
$137,591
total / year
Base
$119,558
Stock
-
Bonus
-
$119,293
$162,496
Interview Experience
7 interviews
Difficulty
3.3
/ 5
Offer Rate
57%
Experience
Positive 0%
Neutral 71%
Negative 29%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Interview
5
Onsite/Virtual Interview Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Leadership/Management
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