Data Analyst, Payments

Stripe is hiring a Data Analyst, Payments in Singapore, Singapore. Level rates it ; you can apply on Stripe.

Level's read on this job

On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
The posting mentions SQL among its tools and skills.
Level classes it as a mid-level role.
Stripe has 720 other open roles on Level.

AI in this role

Analyze global payment network costs, translate network specifications into billing logic, and optimize financial operations at Stripe.

sql

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 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 is responsible for translating complex partner specifications related to network costs (interchange and scheme fees) into simplified logic for internal and external consumption. This also drives decisions and product recommendations to manage the underlying network costs paid by Stripe and our users. The team partners closely with the engineering, product, finance, and partnership groups to manage and understand Stripe's network costs.

Our work is core to Stripe's business, as Technical Operations roles in Payments are a dynamic and key component of Stripe's success. We sit at the intersection of product and platform engineers and financial partners, connecting them to ensure that everyone thrives and nothing is lost in translation.

What you'll do

We're looking to add payment enthusiasts who enjoy interpreting complex cost structures and ever-changing payment network systems to optimize on behalf of Stripe and our users. You'll be instrumental in building Stripe's approach to managing our global network cost base.

Responsibilities

• Collaborate across the company, including engineering, accounting, financial partnerships, and product teams, to analyze billions of dollars moving through the Stripe platform

• Translate network specifications into implementation instructions to create billing models for new and revised fees (both scheme and interchange)

• Influence product strategy to minimize network costs

• Collaborate with Product, Engineering, and Finance to implement cost-saving opportunities, prioritize investment, and explain cost and margin trends

• Monitor and maintain the accuracy of the fees through validation and alerting

• Create fee explainability to internal and external stakeholders and host education sessions for internal teams to scale knowledge

• Introduce data and process efficiencies to meet the scale and speed of Stripe. Identify and automate inefficient operational processes to reduce manual workloads, and scale our network cost operation by driving the design, documentation, and training of operational processes to leverage partner relationships

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 4+ years of experience in Payments at a leading technology or payments company, with the ability to write SQL to query relational databases

• Have experience managing communications and workflows with technical and non-technical teams across internal and external stakeholders

• Have experience navigating the nuanced complexity of financial systems and solving large-scale, technical challenges

• Have strong financial modeling and diagnostic skills to investigate, prioritize, and identify the root cause of issues

• Have experience managing multiple, concurrent work streams, identifying and triaging technical issues, and driving solutions with clear metrics to show impact

Preferred qualifications

• Experience working in fast-paced environments (e.g., high-growth fintech or tech company, management consulting)

• Experience mentoring junior team members in technical skill development, operational strategy, and problem solving

• Experience working with PM, Engineers, finance team, or accounting team

• Experience handling tickets and adhering to operational targets and metrics • Experience with visualization tools

How we rate this

Data Analyst, Payments at Stripe rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.