Data Analytics Manager - Payments & AccountingFinanceBangalore, India
RipplingRemotePosted 2 March 2026
Job Description
Current Openings
Data Analytics Manager - Payments & Accounting
Data Analytics Manager - Payments & Accounting
About Rippling
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
About the role
Rippling's Payments Data & Analytics team is seeking an experienced Analytics Manager to join our rapidly expanding team. In this pivotal role, you will be responsible for building an analytics team from scratch; you will lead them in designing, building, and maintaining services that process vast amounts of financial data.
This is an exciting opportunity to build Rippling’s analytics presence in India from the ground up. As Analytics Manager, you will establish and grow a high-impact analytics team in our Bengaluru office—starting from 0 to 1 and scaling within the approved headcount for the year.
You will partner closely with Accounting, Finance, Business Operations, Payments, and Product teams to deliver accurate, reliable data that underpins Rippling’s financial reporting and ensures the correct functioning of critical product systems. Your work will directly influence decision-making across the company and help shape how data is used at scale
What you will do
Collaborate across the company with engineering, accounting, financial partnerships and product teams to analyze and account for billions of dollars moving through the Rippling payment platform.
Build a team of finance-focused data analysts from scratch; define scope, hire, train, and provide team members with mentorship with opportunities for growth
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.
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 & compliance reporting, and Internal and External Audit reporting.
Create, maintain, and ensure the completeness and accuracy of reporting databases and dashboards, and collaborate with data engineering to implement, document, validate, and monitor our evolving data infrastructure
What you will need
Master’s degree or Bachelor's degree in Computer Science, Business Analytics, Statistics, MIS or other quantitative fields.
8+ years demonstrated experience working hands-on with data: building reporting tables and dashboards for use by functional partners, building and scheduling data pipelines, exploratory analysis on large data sets, etc.
5+ years working in the payments, fintech or finance world; working closely with cross functional stakeholders in both business and engineering teams
2+ years s ... (truncated, view full listing at source)
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