Data Scientist, Financial Analytics

Rippling; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Rippling is hiring a Data Scientist for the Payments Data & Analytics team. You will be embedded in the engine room of our customer funds analytics—reconciling data, improving data quality, and making our payments platform scalable.

You will work with Engineering, Product, and Finance to deliver clean, actionable analytics and ensure regulatory compliance, driving automation across data pipelines and reporting in a fast-paced environment.

Qualifications

• Minimum 4 years of BI/Data Analytics in Finance, Accounting, or Compliance.
• Excellent verbal communication and presentation abilities.
• Experience cross-functional collaboration and presenting to executives.
• Experience with reconciliations of financial/transactional data from disparate datasets.
• Experience reconciling financial data in ecommerce/payments environments.
• Experience with data warehousing and reporting technologies (DBT, Snowflake, Tableau).
• Expert in SQL.
• Familiarity with BI best practices and tooling.
• Familiarity with data transformation practices and tooling (dbt projects, incremental tables).
• Experience with data visualization and delivering self service reporting.

Responsibilities

• Build internal tooling and processes to reconcile financial and transactional data from multiple sources.
• Collaborate with stakeholders to automate reporting and reconciliation, including internal tool development or third-party tools.
• Maintain internal controls to protect against payment errors or compliance breaches.
• Support audits, month-end reconciliation, system implementations and special projects.
• Leverage data analysis and AI-powered tools to identify process gaps and drive automation.
• Improve the fidelity and performance of DBT pipelines and evolve data architecture.

Skills

SQL

Data storytelling

Cross-functional collaboration

Regulatory compliance

Analytical thinking

Verbal communication

Tools

DBT

Snowflake

Tableau

BI tools

Job description

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 $1.85B+ from the world’s top investors - including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, Bedrock, GIC, Elad Gil and Goldman Sachs—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

Join our growing Payments Data & Analytics team as an experienced Data Scientist. This is an opportunity to be embedded in the engine room of our customer funds analytics —playing a critical role in reconciling customer data, improving data quality, and making our payments reconciliation platform bulletproof and more scalable. You’ll work closely with Engineering, Product, and Finance teams to ensure customers have clean, actionable data at their fingertips.

Your role will involve analyzing complex data sets, managing analytical projects, and collaborating with various teams to deliver complete and accurate analytics to ensure compliance with regulators and external parties.

You should have strong critical thinking skills, and the ability to frame and break down complex problems. You thrive under ambiguity and can operate cross functionally in a fast paced environment. You are able to operate across the data stack, and support all elements from data engineering to delivering strategic recommendations
Note: Looking for a founding team member who isn't afraid to roll up their sleeves and do the heavy lifting on analytics as we build from the ground up.

What you will do

• Build internal tooling and processes to reconcile financial and transactional data from multiple sources to enable accurate, repeatable customer funds reporting
• Collaborate with key stakeholders (Accounting, Compliance, Engineering, etc.) to understand business requirements and develop solutions to automate reporting and reconciliation, including internal tool development and/or implementation of third party tools.
• Maintain strong internal controls to protect against payment errors or compliance breaches.
• Support audits, month-end reconciliation, system implementations and special projects.
• Leverage data analysis and AI-powered tools to identify process gaps, detect anomalies, and drive automation opportunities.
• Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture

What you will need

• A minimum of 4 years of experience in Business Intelligence/Data Analytics within a Finance, Accounting, or Compliance function
• Excellent verbal communication and presentation ability. You are able to frame problems, and communicate to all levels of an organization
• Proven track record of working cross functionally and communicating findings to executive leadership
• Experience partnering with Finance/Accounting organizations in performing detailed and data intensive reconciliations with disparate datasets.
• Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment)
• Experience with data warehousing and reporting technologies like DBT, Snowflake, Tableau, etc.
• Expert in SQL
• Familiarity with business intelligence best practices and tooling
• Familiarity with data transformation best practices and tooling (e.g. dbt projects, incremental tables, etc.)
• Experience with data visualization tools and delivering self service reporting

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [e-mail]

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.