채용
Benefits & Perks
•Health benefits
•401(k) matching
•Stock options
•Development budget
•CPA reimbursement
•Salary and bonus
•Healthcare
•Equity
Required Skills
NetSuite
Excel
Oracle
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
The Finance Engineering organization is composed of multiple teams that ensure Stripe has the best-in-class automated frameworks for meeting our external financial regulatory obligations while raising the bar for internal financial data compliance processes. We deliver accurate, timely, and reliable reporting based on robust, immutable, and trustworthy data sources.
Working closely with our business partners and regulatory experts, we build data pipelines and reporting capabilities to respond to a highly complex and ever changing regulatory environment while maintaining the trust and confidence of regulators. In addition to that, our Engineers operate Stripe’s ledger, which is the authoritative source of record for all money movement at Stripe.
What you’ll do
Responsibilities
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Collaborate across the company, including engineering, accounting, financial partnerships and product teams, to analyze and respond to regulatory reporting, tax and accounting requirements by combining data from multiple upstream data sources.
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Build simple, usable dashboards to facilitate the delivery of reports for our regulatory reporting partners as well as communicate clear data to internal stakeholders.
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Interface with Stripe’s partners across the world to drive alignment between their products and how Stripe uses them, and hold Stripe’s partners accountable to resolve day-to-day operational breakages.
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Independently scope systematic ways to automate manual processes and drive cross-functional initiatives to successful conclusions.
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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2+ years of experience in a Data Analytics, Technical Operations, Business Intelligence or similar role
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Proficiency with SQL and have experience building data pipelines / ETL processes.
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Have experience navigating the nuanced complexity of financial systems and solving large scale, technical challenges.
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Have experience managing communications and workflows with technical and non-technical teams across internal and external stakeholders (including external financial partners and vendors).
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Have strong analytical skills to investigate, prioritize, and identify the root cause of issues.
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Experience working across multiple teams and organizations to drive fundamental change and improving processes.
Preferred qualifications
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Experience working with regulatory or compliance reporting
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Experience with accounting / double-entry ledger principles
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Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
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Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
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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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