Data Analyst, Financial Analytics
San Francisco, CA; New York, NY
Full Time Mid-level / Intermediate USD 90K - 157K
Rippling
Rippling eliminates the friction from running a business, combining HR, IT, and Finance apps on a unified data platform.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 $1.2B 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
We are looking for an experienced Data Analyst to join our growing Finance data team.
This is an exciting opportunity to become a foundational member of the Payments & Financial analytics team, responsible for designing, building, and maintaining services that automatically process massive amounts of financial data, providing visibility into each step of the money movement lifecycle in Rippling's payments product ecosystem.
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.
What you will do
- Collaborate across the company with engineering, accounting, compliance, and product teams to analyze and account for billions of dollars moving through the Rippling payment platform.
- Build full-cycle analysis 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.
- Developing a comprehensive understanding of the processes that currently exist and how to automate them for the future and integrate into the ERP.
- Developing a deep understanding of the Company data schemas and data models to automate accounting reporting and reconciliations.
- Collaborating with key stakeholders (Accounting, Compliance, Treasury etc.) to understand business requirements and develop solutions to address reporting and reconciliation automation, including internal tool development and/or implementation of third party tools.
- Developing and maintaining documentation of reconciliation processes and procedures.
- Preparing and delivering data and reporting solutions to help automate accounting reconciliations supporting month-end close, regulatory & compliance reporting
What you will need
- A minimum of 3 years of experience in Business Intelligence/Data Analytics within an finance/accounting department.
- 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 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. incremental tables, metrics layer, dbt projects)
- 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 accomodations@rippling.com
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 40 mile 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.
This role will receive a competitive salary + benefits + 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 someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
#li-hybrid
Tags: Business Intelligence Data Analytics Data visualization Data Warehousing dbt Engineering Finance Python Snowflake SQL Statistics Tableau
Perks/benefits: Competitive pay Equity / stock options Startup environment
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