How much experience is required?

At least 4 years of relevant experience for this Data Analyst, Financial Enablement role.

What's the tech stack?

Joblaze extracted these technologies from the posting: SQL, AI.

What seniority level is this role?

Stripe targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Data Analyst, Financial Enablement role at Stripe.

Data Analyst, Financial Enablement at Stripe

Joblaze summary

In this role, the Data Analyst for Financial Enablement at Stripe focuses on analyzing complex datasets to provide actionable insights that support various financial teams. Proficiency in SQL and experience with large datasets are essential, along with strong communication skills to collaborate effectively across departments. This position is ideal for someone with a background in finance or accounting, who thrives in dynamic environments and is eager to leverage AI tools for operational efficiency. The Financial Enablement team plays a crucial role in driving revenue growth and enhancing the company's financial infrastructure.

Joblaze insights

Listed about a month ago on Joblaze — tracked directly from Stripe's career page.
Stripe has 548 other open roles including Corporate Paralegal, Account Executive, Product Sales (BaaS), Analyst Relations Manager.
1128 active SQL roles on Joblaze right now.
643 active AI roles on Joblaze right now.

Quick facts

How much experience is required?: At least 4 years of relevant experience for this Data Analyst, Financial Enablement role.
What's the tech stack?: Joblaze extracted these technologies from the posting: SQL, AI.
What seniority level is this role?: Stripe targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Data Analyst, Financial Enablement role at Stripe.

From the original posting

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 Internal System Org is at the core of Stripe to empower business-critical financial domains including Finance and Strategy, Accounting, Tax, Treasury, Product Experience, and GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. We enable and empower Finance and Strategy, GTM, Accounting, and Product teams to achieve business goals through dataset development, data analytics support, dashboards, AI, and operational efficiency enhancements.

What you'll do

You're passionate about solving business problems and making a direct impact on the business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g., AI). We're looking for someone with strong communication skills and advanced SQL and analytics abilities. A background in Accounting or Finance, or prior AI experience, is a strong plus, though these can also be developed on the job.

Responsibilities

Perform data analysis, identify trends, conduct research, and build visualizations to deliver objective, critical insights that fulfill team stakeholders' business needs
Work closely with cross-functional teams, including Finance and Strategy, Accounting, Product, Tax, User Billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth
Work closely with Engineering and Product teams to help define product solutions
Leverage AI tools to improve teamwork efficiency

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

Bachelor's degree in a STEM major (e.g., Computer Science, Mathematics, Statistics, Engineering) and 4+ years of experience in data analysis
Strong problem-solving ability, proficiency with SQL (minimum of 3 years of advanced SQL), and strong understanding of data relationships
Experience working with large datasets
Strong project management skills
Domain knowledge in Finance, Accounting, and GTM

Preferred qualifications

Experience working in fast-paced environments (e.g., high-growth fintech or tech company, management consulting)
Experience working with PMs, Engineers, GTM, Accounting, or Finance teams
Experience working with financial datasets
Experience with AI tools (Claude Code, Kai, etc.)
Qualification in Accounting or Finance, or CPA or CFA certification