Stripe powers the financial infrastructure of millions of businesses worldwide. Since companies rely on Stripe for payments, billing, monetization, and financial reporting, the role of a Financial Data Analyst – User Billing becomes critically important. This position ensures accurate billing, smooth revenue processes, and reliable financial insights for internal and external stakeholders. Moreover, it combines technical analysis, operational ownership, and cross-functional collaboration into one high-impact role.
To help you understand the position in a clear and structured way, the full overview is presented below.
Job Overview Table
| Category | Details |
|---|---|
| Company | Stripe |
| Role | Financial Data Analyst – User Billing |
| Location | Bengaluru (office expectations vary) |
| Required Education | Bachelor’s degree in STEM |
| Required Experience | 3+ years data analysis + 4+ years advanced SQL |
| Preferred Experience | Fast-paced fintech/tech, accounting, finance, ticket handling |
| Core Skills | SQL, data analysis, trend detection, project management |
| Department | Technical Operations – User Billing |
| Work Model | Hybrid or in-office depending on team |
About Stripe
Stripe is a global financial infrastructure platform used by millions of businesses. Because Stripe handles payments, billing, fraud detection, and financial systems for companies across the world, accuracy and reliability are essential. Every invoice, pricing model, discount, tax calculation, or financial adjustment flows through User Billing systems. Therefore, the Financial Data Analyst plays a foundational role in maintaining trust and transparency.

About the User Billing Team
User Billing manages the systems and processes that turn Stripe’s products into revenue. Since these systems support enterprises and startups alike, they must operate with precision. The team owns billing engines, pricing workflows, audit structures, and financial controls. As a result, it ensures that users receive a frictionless billing experience, while internal teams receive timely and accurate economic data.
Additionally, Technical Operations serves as the central connector between product, engineering, finance, sales, and operations. This makes the team essential for problem-solving, revenue accuracy, and customer trust.
Key Responsibilities
1. Data Analysis and Trend Identification
You will work with extremely large datasets. In addition, you will perform data validation, create visualizations, detect anomalies, and provide insights for GTM teams, Accounting, Tax, and Finance. These analyses support decision-making across several departments.
2. Ticket Triage and Misbilling Investigation
You will analyze transactional data to identify billing errors. Furthermore, you will calculate refunds or clawbacks when necessary, ensuring customers are billed fairly and systems follow financial rules.
3. Month-End Close Support
You will collaborate with Accounting and Finance for monthly close processes. This includes validating data, resolving incidents, and confirming that all billing reports align with financial standards.
4. Cross-Functional Project Execution
You will coordinate with Engineering, Product, and Operations teams. As a result, you will uncover operational inefficiencies and help implement stronger systems, better workflows, and more scalable solutions.
5. Financial Audit Support
Audits require precise data, and you will analyze records, trace billing histories, and prepare audit-ready datasets. This role demands accuracy and timely delivery.
6. Product Collaboration
You will work closely with FinSys Engineering to help define product improvements that impact pricing, billing engines, and financial systems.
7. Internal Knowledge Sharing
Since the role requires deep understanding of billing logic and financial structures, you will also conduct training sessions to strengthen team capabilities.
Who You Are
You enjoy solving complex business problems using data. You work well with multiple teams and can handle fast-changing environments. Because you will collaborate with US and India teams, strong communication and coordination skills are essential. Additionally, you bring a mix of analytical expertise and finance awareness.
🔥 Apply Now – Stripe Financial Data Analyst
| Platform | Apply / Join Links |
|---|---|
| Platform Link | Click Here |
| Official Apply Link | Click Here (Official) |
| WhatsApp Group |
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| Telegram Group |
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Minimum Requirements
- Bachelor’s degree in a STEM field such as Computer Science, Math, Engineering, or Statistics
- 3+ years of experience in data analysis
- 4+ years of advanced SQL experience
- Strong understanding of data relationships and very large datasets
- Strong communication and project management skills
- Ability to work cross-functionally and meet deadlines
- Experience identifying process improvements
- Finance or Accounting domain knowledge
Preferred Qualifications
- Master’s degree in a STEM field
- Experience in high-growth tech or fintech environments
- Background in working with PMs, Engineers, Finance, or Accounting teams
- Experience handling tickets and meeting operational KPIs
- Ability to mentor junior analysts
- Experience with visualization tools
- Experience working with US-based teams or multiple time zones
- Experience onboarding merchants to billing platforms
Work Environment and Office Expectations
Stripe follows a flexible office policy that varies by team and location. Some offices require at least 50 percent in-person work days per month. In contrast, roles in specific delivery centers may require full-time office attendance. Because each team may have different expectations, the hiring manager will provide clarity during the interview process.
Career Growth Opportunities
Because Stripe manages global financial infrastructure, this role unlocks opportunities such as:
- Senior Data Analyst
- Billing Operations Manager
- Financial Systems Analyst
- Product Analyst
- Revenue Operations Lead
- Technical Program Manager
Furthermore, you gain exposure to large-scale financial systems, cross-department leadership, and technical problem-solving.