Analytics Lead Visa Sponsorship Jobs in California
Analytics lead visa sponsorship jobs in California are concentrated in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, Salesforce, and Snap consistently hire senior analytics talent. The state's dominance in tech, entertainment, and life sciences makes it one of the strongest markets in the country for internationally sponsored analytics leadership roles.
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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 Payment Analytics team is looking for experienced and highly skilled Payments Platform Analytics Lead to join our fast growing team.
In this role, you will be 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.
This is an exciting opportunity to become a foundational member of the Payments analytics team, where you’ll be responsible for ensuring that our customers and external financial institutions correctly settle with Rippling on every single transaction.
It’s a highly cross-functional role with significant visibility within the executive team. You will empower Accounting, Finance, Legal & Compliance, Payments, and product teams by delivering accurate data that not only are crucial to Rippling’s financials but also play a significant role in guaranteeing the correct functioning of product systems at Rippling.
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 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.
- Monitor the payment flows between systems, banks, processors and inter-company, perform daily account reconciliations, and follow up on any discrepancies.
- React swiftly to issues which may arise, to summarize facts and provide recommendations for timely resolution of critical (real money) issues.
- Collaborate 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.
- Develop and maintain documentation of reconciliation processes and procedures.
- Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, Internal and External Audit reporting.
- Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.
- Create, maintain and ensure completeness and accuracy of reporting databases, 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, Engineering, Statistics, MIS or other quantitative fields.
- 5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting.
- Experience with data warehousing, ETL processes, and reporting tools (e.g., Snowflake, Tableau, DBT).
- Extensive experience with SQL, Python, or other scripting languages and their 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 point - Experience with general accounting principles, with the general ledger close process, and regulatory compliance.
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 accommodations@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 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.
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
The pay range for this role is:
114,000 - 190,000 USD per year (US Tier 1)
Analytics Lead Job Roles in California
See all 205+ Analytics Lead Jobs in California
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Search Analytics Lead Jobs in CaliforniaAnalytics Lead Jobs in California: Frequently Asked Questions
Which companies sponsor visas for analytics leads in California?
Technology companies account for the largest share of analytics lead sponsorship in California. Google, Meta, Apple, Salesforce, Adobe, and Snap have consistent histories of filing H-1B visa petitions for senior analytics roles. Beyond pure tech, companies in life sciences like Gilead and Genentech, as well as streaming and entertainment firms in Los Angeles, also sponsor analytics leadership positions regularly.
Which visa types are most common for analytics lead roles in California?
The H-1B is the most common visa for analytics leads in California, given that these roles typically require a bachelor's degree or higher in statistics, computer science, mathematics, or a related field, satisfying the specialty occupation requirement. Candidates with extraordinary recognition in their field may qualify for the O-1A. Australians should also consider the E-3 visa, which has no lottery and significantly shorter wait times.
Which cities in California have the most analytics lead sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, and Menlo Park, generates the highest concentration of analytics lead sponsorship jobs in California due to the density of major tech employers. Los Angeles is the second-largest market, particularly for roles in media, advertising technology, and e-commerce. San Diego has a growing cluster tied to biotech and defense analytics.
How to find analytics lead visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters analytics lead roles in California by verified visa sponsorship, so you're not sifting through postings from employers who won't sponsor. Searching on Migrate Mate lets you focus on companies in the Bay Area, LA, and San Diego that have a track record of filing H-1B and other work visa petitions for senior analytics positions.
Are there any California-specific considerations for analytics leads seeking visa sponsorship?
California's prevailing wage requirements apply to H-1B positions and are set at levels reflecting the state's high cost of living, particularly in the Bay Area. Many sponsored analytics lead roles in California are sourced through university pipelines from Stanford, UC Berkeley, and UCLA, meaning employers in this state are accustomed to sponsoring international candidates. California also prohibits non-compete agreements, which can make role transitions somewhat more straightforward for sponsored workers.
What is the prevailing wage for sponsored analytics lead jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.