Analytics Engineer - Payments

The Analytics Engineer - Payments role focuses on designing, building, and maintaining data services to process and provide visibility into payment data, enabling cross-functional teams with accurate data and dashboards across the money movement lifecycle.

Location

New York, NY (onsite)

Compensation

The pay range for this role is 114,000 - 199,500 USD per year (US Tier 1).

Responsibilities

• Collaborate across engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars moving through the payment platform.
• Develop end-to-end analyses using SQL, Python, and other scripting or statistical tools, and create real-time dashboards to manage key financial and operating levers.
• Monitor payment flows between systems, banks, processors, and inter-company accounts; perform daily reconciliations and address discrepancies.
• Respond promptly to emerging issues, summarize findings, and propose actions for timely resolution of critical financial matters.
• Partner with stakeholders in Accounting, Compliance, Treasury, and others to translate business requirements into scalable reporting and reconciliation automation solutions, including internal tools and third-party implementations.
• Develop and maintain comprehensive documentation of reconciliation processes and procedures.
• Prepare data and reporting solutions to support month-end close, regulatory and compliance reporting, and internal and external audit activities.
• Present findings and recommendations to stakeholders through clear and concise presentations and reports.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Data Science, Economics, Mathematics, Business Analytics, or related fields.
• 4+ years of experience applying analytics engineering, analysis, modeling, or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
• Experience with data warehousing, ETL, and reporting tools (for example Snowflake, Tableau, dbt, Dagster).
• Strong SQL skills across all stages of the data science development process, from initial analysis to deployment.
• Experience working with engineering, finance, and accounting teams to assess data needs and build automated reporting pipelines.
• Solid problem-solving abilities and clear communication skills suitable for both technical and non-technical audiences.
• Ability to interact with multiple stakeholders and senior leadership across the organization.
• Bonus: experience with general accounting principles, the general ledger close process, and regulatory compliance.

Technologies

• SQL
• Python
• Snowflake
• Tableau
• dbt
• Dagster

Additional Information

• Rippling is an equal opportunity employer. We are committed to a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity or expression, age, sexual orientation, veteran status, or any other legally protected characteristics.
• Rippling values in-office collaboration and considers on-site presence three days a week as an essential function for office-based employees within a defined radius of a Rippling office.
• This role offers a competitive salary along with benefits and equity. Compensation for US-based employees aligns with the applicable location tier; final offers may vary based on experience, background, and location.
• A range of factors influence compensation, including professional background, experience, and location.