Senior Data Analyst - Payments designs, builds, and maintains services that process large volumes of financial data and provide visibility into the payments lifecycle within Rippling's product ecosystem.
Responsibilities
- Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform.
- Build full cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real time metrics dashboards to manage key financial and operating levers of the business.
- Monitor payment flows between systems, banks, processors, and inter company accounts, perform daily account reconciliations, and follow up on any discrepancies.
- React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters.
- Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third party tools.
- Develop and maintain comprehensive documentation of reconciliation processes and procedures.
- Prepare and deliver data and reporting solutions supporting month end close, regulatory and compliance reporting, and Internal and External Audit reporting.
- Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.
Requirements
- Master’s degree or Bachelor’s degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or other related fields.
- 4+ years of demonstrated experience in applying analytics engineering, analysis, modeling, and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
- Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster).
- Extensive experience with SQL and its application to all phases of the data science development process (initial analysis and model development through deployment).
- Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines.
- Strong problem solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences.
- Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization.
- Bonus points if you have experience with general accounting principles, the general ledger close process, and regulatory compliance.
Technologies
- SQL
- Python
- Snowflake
- Tableau
- dbt
- Dagster
Benefits
About Rippling
Rippling unifies HR, IT, and Finance on a single platform, bringing together payroll, expenses, benefits, devices, and related workflows to streamline the end-to-end employee lifecycle.
For onboarding, Rippling enables hiring globally and configuring payroll, corporate card, devices, benefits, and third party apps like Slack and Microsoft 365 within about 90 seconds.
Headquartered in San Francisco, Rippling has raised over $1.4 billion from premier investors and has been named one of America's best startup employers by Forbes.
We prioritize candidate safety and ensure official communications originate from @Rippling.com addresses.
Additional Information
- Rippling is an equal opportunity employer and is committed to building a diverse and inclusive workforce.
- Rippling values in-office collaboration and considers working in the office, at least three days a week for office-based roles, to be an essential function of the role.
- This role offers a competitive salary plus benefits and equity. The salary for US based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
- A variety of factors are considered when determining compensation, including professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
- Pay range for this role is 114,000 - 199,500 USD per year (US Tier 1).
- Location: New York, NY (onsite)
