Technical Operations, Financial Data Analyst
Singapore
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.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 Payments organization owns some of Stripe’s most critical payment flows and a platform that processes hundreds of billions of dollars in payments a year. Our team partners closely with Payments Engineering teams in APAC to build tooling and automate processes that scale operations with Stripe’s increasing payment volume. We also work with internal teams and financial partners to improve data pipelines and reporting, helping ensure that Stripe’s financial data is accurate, timely, and reliable.
What you’ll do
Responsibilities
- Conduct analysis to understand the source of financial data problems, making changes to mitigate and prevent similar shaped problems in future.
- Build data pipelines to facilitate the delivery of reports for our regulatory reporting partners.
- Create data visualization tools, and communicate insights to internal stakeholders.
- Navigate Stripe’s codebase and internal systems to understand behavior, and implement configuration and code changes to address issues or deliver new requirements.
- Collaborate 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.
- Independently scope systematic ways to automate or eliminate manual processes and drive cross-functional initiatives to successful conclusions.
- Manage multiple projects simultaneously and prioritize tasks effectively in a fast paced setting.
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
- Have 2+ years professional experience in a Data Analytics, Data Engineering, Technical Operations, Business Intelligence, Partner Solutions Engineering, or similar role (excluding internships).
- Expertise using SQL and working with data warehouses to perform analysis and generate data visualization tools.
- Ability to write high quality code. Although you’ll spend more time working with data, issues at Stripe can involve crossing system boundaries, and you’ll have more impact if you’re comfortable reading other’s code and contributing changes.
- Comfort with developer tools (e.g. git).
- Experience with accounting, financial reporting, and/or compliance domains (Experience working with financial data, essentially).
- Great technical problem-solving skills, with an ability to develop a working understanding of a technical system using a variety of methods. These include reading/writing code, reading documentation or partner specifications, running debugging programs, reading logs, asking well-formed questions to domain experts, or digging into the raw data through various interfaces.
- Great communication skills, with an ability to frame messages appropriately for technical and non-technical audiences as well as documenting problems, solutions and processes for future reference and knowledge sharing.
- A strong interest in understanding the root cause of issues and delivering on the long-term solution.
Preferred qualifications
- Hands-on experience building and debugging data pipelines.
- Experience deploying LLMs to automate operational workloads.
- Professional fluency in Japanese, both written and verbal.
Hybrid work at Stripe
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefits
The annual salary range for this role in the primary location is S$96,000 - S$144,000. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.
Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.
We look forward to hearing from you
At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Data Analytics Data pipelines Data visualization Engineering Git LLMs Pipelines SQL
Perks/benefits: Career development Equity / stock options Health care Salary bonus Wellness
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