Staff Data Analyst (Accounting)
GoFundMe
- San Francisco, California, United States
- San Francisco, California, United States
Über
We’re looking for a
Staff Data Analyst
to own the analytical foundation for Accounting and Finance at GoFundMe. This is a domain ownership role—you will be the single point of accountability for how financial data is understood, reported, and improved across Accounting, Finance, and Payments. You’ll work closely with Accounting and Finance leadership, partner with Data Engineering to ensure data pipelines meet analytical and audit requirements, and continuously sharpen the quality and depth of financial reporting. Accounting will define priorities and business requirements; you will own how those are translated into scalable data models, automation, and reporting.
If you’re someone who gets energized by owning a domain deeply, building rigorous processes, and making financial data genuinely trustworthy at scale, then this role is for you.
Candidate location: San Francisco Bay Area. In-office requirement: 3 days per week.
Responsibilities
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 financial outputs can stand up to scrutiny without requiring Accounting to manually validate underlying data.
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 own the analytical layer that sits on top.
Continuously improve financial insights
– regularly identify gaps in reporting coverage, surface anomalies in financial data, and proactively bring new analyses to Accounting and Finance leadership.
Manage stakeholders across functions
– work independently across Accounting, Finance, Payments, and Data Engineering without significant handholding. Translate between business needs and data capabilities, and 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 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 NetSuite
– 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.
Experience & Education
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 need, and how to operate with non‑negotiable accuracy.
Experience working with transaction‑level financial data and reconciliation processes.
Experience in or alongside audit‑driven environments; familiarity with building 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.
Demonstrated ability to own a domain end‑to‑end with minimal direction.
Core Skills
Strong foundation in financial reporting, reconciliation and accounting concepts.
Ability to translate ambiguous business problems into structured analytical frameworks with clear outputs.
Systems thinking – design processes that prevent recurring issues.
Experience automating or replacing manual business processes with scalable data solutions.
Strong internal quality checks – self‑skeptical and thorough before delivery.
Comfortable working across technical and non‑technical stakeholders; able to hold your own in both data engineering conversations and CFO reviews.
Technical Skills
Advanced SQL – complex queries, window functions, performance optimization.
Experience with data warehousing platforms, particularly Snowflake.
Familiarity with dbt or equivalent data transformation tooling.
Fluent with modern AI tools – use LLM‑based assistants and coding agents to write SQL, QA outputs, explore data, and automate repetitive reporting tasks.
Proficiency in Python or similar for analytical workflows is a plus.
Strong data visualization and BI skills (Looker preferred); build dashboards that finance teams actually use.
Familiarity with financial systems (NetSuite, Stripe, Adyen or similar) is a plus.
Independent operation – manage relationships, set priorities, and drive outcomes without waiting for direction.
Strong communicator – present complex findings clearly to executive audiences and build trust with non‑technical stakeholders.
Process‑oriented – build repeatable, documented solutions that do not depend on anyone’s memory.
Cross‑departmental collaboration – operate with Accounting‑led priorities while partnering with Data and Engineering.
Preferred Qualifications
Previous experience in FinTech, Payments, or Accounting data environments.
Familiarity with GAAP, revenue recognition and financial close processes.
Experience supporting or preparing for SOX compliance, IPO readiness or external audits.
Experience with payments domain concepts – transaction flows, chargebacks, reconciliation and transaction ledger systems.
Experience translating finance team requirements into data engineering specifications.
Benefits
Make an impact: be part of a mission‑driven organization that changes millions of lives every year.
Innovative environment: work with a diverse, passionate, and talented team in a fast‑paced, forward‑thinking atmosphere.
Collaborative team: enjoy a fun team that works hard and celebrates success together.
Competitive benefits: competitive pay, comprehensive healthcare, dental, vision, life insurance, 401(k) savings, equity and other benefits.
Holistic support: financial assistance for hybrid work, family planning, generous parental leave, flexible time‑off policies and mental health and wellness resources.
Growth opportunities: learning, development and recognition programs.
Commitment to DEI: participation in diversity, equity and inclusion initiatives.
Community engagement: volunteer opportunities through the company’s program.
We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!
GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
The annual U.S. salary range for this full‑time position is $156,500 – $234,500. The company also offers equity and other benefits, including healthcare, dental, vision, life insurance and 401(k) savings. Geolocation differentials may apply. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.
If you require a reasonable accommodation to complete a job application or interview, please contact us at accommodationrequests@gofundme.com.
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Sprachkenntnisse
- English
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