Data Analyst; Accounting

Want to help us help others? We’re hiring!

Go Fund Me  is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, Go Fund Me  makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

• Own the financial analytics domain. Be the go-to analytical authority for Accounting and Finance. Define what questions matter, what data answers them, and what rigor is required to trust the outputs. Own this layer end to end, ensuring reporting is traceable to source systems and defensible in audit scenarios.
• Build automation to make Accounting faster and more accurate. Turn prioritized workflows into scalable, automated solutions that reduce manual work and increase accuracy.
• Drive financial reporting and audit readiness. Build and maintain reporting that is reproducible, traceable, and audit‑ready. Ensure that financial outputs can stand up to scrutiny without requiring Accounting to manually validate underlying data. As Go Fund Me  scales toward enterprise maturity, you will be a core part of that readiness.
• Partner with Data Engineering on pipeline requirements. Translate Accounting and Finance needs into clear data requirements. Guide Data Engineering on what needs to be built, ensure pipelines support completeness, accuracy, and reconciliation at the transaction level, and then own the analytical layer that sits on top.
• Continuously improve financial insights. This isn’t a “build it and hand it off” role. You’ll regularly identify gaps in reporting coverage, surface anomalies in financial data, and proactively bring new analyses to Accounting and Finance leadership. Think about what we don’t know yet.
• Manage stakeholders across functions. Work independently across Accounting, Finance, Payments, and Data Engineering without needing significant hand holding. Translate between what business teams need and what data teams can build. Communicate findings clearly to executive audiences.
• Shape data standards for financial reporting. Establish best practices for how financial data is modeled, documented, and validated. Elevate self‑service capabilities so Accounting and Finance teams can move faster with confidence.
• Support transaction ledger accuracy and compliance. Partner with Accounting and Engineering to ensure accurate reporting and reconciliation of the internal transaction ledger. Validate data completeness and integrity at the transaction level, support regulatory reporting requirements, and build monitoring that surfaces exceptions before they become compliance issues.
• Own data integrity between source systems and Net Suite. Monitor pipelines for completeness and accuracy, investigate reconciliation breaks, and resolve root causes independently. If the data doesn’t tie, you find out why and fix it.

• 8+ years of experience in data analytics, financial analytics, or a related quantitative role
• Background in finance, fintech, or banking. You understand how financial data flows, what accounting teams actually need, and how to operate in environments where accuracy is non‑negotiable
• Experience working with transaction‑level financial data and reconciliation processes
• Experience working in or alongside audit‑driven environments; familiarity with what it takes to build reporting that meets enterprise or public company standards
• Experience at a company that has gone through IPO preparation or significant enterprise scaling is a strong plus. You understand what "audit‑ready" means in practice
• Demonstrated ability to own a domain end‑to‑end with minimal direction

• Strong foundation in financial reporting, reconciliation, and accounting concepts. You know enough to be a credible partner to Accounting and Finance teams
• Ability to translate ambiguous business problems into structured analytical frameworks with clear outputs
• Ability to think in systems, not just analyses (designing processes that prevent recurring issues)
• Experience automating or replacing manual business processes with scalable…