Senior Data Analyst - Payments
The Senior Data Analyst will analyze and reconcile payment flows, build reporting automation and real-time dashboards, and provide financial insights across payments, accounting, finance, and product teams. The role requires 4+ years of analytics experience, strong SQL, and familiarity with data warehousing and ETL tools.
About the job
Responsibilities
- Collaborate with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the payments platform.
- Build full-cycle analyses using SQL, Python, and statistical tools.
- Develop real-time metrics dashboards for key financial and operating levers.
- Monitor payment flows between systems, banks, processors, and inter-company accounts.
- Perform daily account reconciliations and investigate discrepancies.
- React to emerging issues, summarize facts, and recommend timely resolutions.
- Develop scalable reporting and reconciliation automation, including internal tools and third-party solutions.
- Document reconciliation processes and procedures.
- Prepare reporting for month-end close, regulatory and compliance reporting, and internal and external audits.
- Present findings and recommendations clearly to technical and non-technical stakeholders.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, Statistics, Data Science, Economics, Mathematics, Business Analytics, or a related field.
- 4+ years of experience applying analytics engineering, analysis, modeling, or exploratory analysis to large datasets.
- Experience with data warehousing, ETL, and reporting tools.
- Extensive SQL experience across data analysis and model development workflows.
- Experience partnering with engineering, finance, and accounting teams to assess data needs and build automated reporting pipelines.
- Strong problem-solving, communication, and stakeholder-management skills.
- Ability to communicate with senior leadership, including C-suite stakeholders.
Nice-to-haves
- Experience with payments processing, quote-to-cash, or financial reporting.
- Experience with general accounting principles, general ledger close processes, and regulatory compliance.
Compensation and Benefits
- Competitive salary, benefits, and equity.
- Compensation varies based on professional background, experience, and location.
Skills
SQL, Python, Snowflake, Tableau, dbt, Dagster, Data Warehousing, ETL, Data Modeling, Statistical Analysis, Data Pipelines, Reconciliation Automation
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