H-1B Visa Financial Data Analyst Jobs
Financial Data Analyst roles qualify as H-1B visa specialty occupations because they require at least a bachelor's degree in statistics, finance, computer science, or a related field. Employers file the LCA and I-129 on your behalf, and the 85,000-slot annual cap means timing your job search around the April lottery registration window matters.
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Company Description
Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America.
Job Description
Position Purpose:
The Senior Financial Data Analyst partners with the Director of Finance, Senior Leaders, and Finance Team to assist with automating processes and reporting, collaborates closely with Operation Leaders to support strategic initiatives and decision-making, creates financial models to provide insights to business operations, analyzes and resolves data issues within the newly implemented systems, ensuring smooth operations, develops and maintains insightful financial dashboards and reports using advanced business intelligence tools and applies data mining techniques and visualization tools to support strategic planning, cost transparency, and operational efficiency.
Primary Duties/Responsibilities:
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The NJ Regulated finance team delivers operational support and education to a 500+ employee organization that delivers continuous clean drinking water for over 1 million customers within NJ. This role provides a dynamic learning environment to understand regulatory, customer, operational, and financial needs. In this role, you will directly work with operations leaders with the Finance Team. This collaborative team effort covers the core topics of FP&A, regulatory reporting, financial/AP controls, and operational KPIs. This stable team is highly motivated and empowered for new ideas and improvements; while also highly encouraging cross function education. As an employee you will find a balance between routine, self-led projects, and accessible leadership. Beyond a curious mind and strong financial data skills, a successful candidate will have a high desire to learn the operations, tinker and improve, challenge and execute.
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Deliver FP&A support to Director of Finance, Manager, and Finance Team:
- Collaborate with monthly reporting, variance analysis, budget, and forecast deliverables.
- Support month end close processes including accruals, AP, inventory, and reclasses.
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Update annual allocations, capitalization, regulatory reports, and financial contractual obligations.
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Leverage tools to provide a high level of data proficiency and analytical skills:
- Query, scrub, and manage data to provide transparency and insights.
- Redevelop and automate existing reporting.
- Monitor and create controls to drive the financial performance, accounting rules, state/federal regulatory compliance, and contractual agreements.
- Strategic member for monthly Key Performance Indicators Leadership Review (partner in development, presentations, and strategy).
Qualifications
Education/Experience/Background:
- Bachelor degree in Finance, Economics, Statistics, Engineering, a related field, or equivalent practical experience.
- MBA preferred.
- 3-5 years of progressive experience in Finance, Accounting, and/or Data.
- Significant achievements in analyzing complex financial issues.
- KPI or data science experience.
Knowledge/Skills/Abilities:
- Mastery of Excel and Google (or equivalent business intelligence data tools).
- Desire to learn about the Water Industry.
- Strong analytical and problem-solving skills that translate to operational effectiveness.
- High sense of urgency and ability to deliver on tasks and projects. Ability to identify creative solutions and to individually execute as a sole contributor.
- Highly proficient with Google, Microsoft Office Suite, or equivalent system.
- Highly effective management of data, data scrubbing, and data visualization (SQL/Power Query/Looker/basics preferred).
- Integrity, reliability and autonomy.
- Peoplesoft, Hyperion, Perspectives, Workday, SmartView knowledge are highly desirable.
- Interpersonal skills with ability to interact with all levels of management.
Additional Information
Pay Range: $80000 to $90000 per year.
Benefits: Veolia’s comprehensive benefits package includes paid time off policies, as well as health, dental, vision, life insurance, savings accounts, tuition reimbursement, paid volunteering and more. In addition, employees are also entitled to participate in an employer sponsored 401(k) plan, to save for retirement.
Sick leave – 56 hours; Observed Holidays – 11 days; Vacation – Flexible Time Off
Eligible for up to 10% Annual Performance Bonus
We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Financial Data Analyst
Align your degree to the role
Your degree field must directly relate to financial data analysis. A finance or statistics degree is straightforward. A general business degree may trigger an RFE, so document any coursework in quantitative methods, econometrics, or data modeling before applying.
Search LCA filings for sponsoring employers
Use the OFLC Wage Search to pull Labor Condition Application records for job titles like Financial Analyst or Data Analyst. Employers with recent, certified LCAs for those titles have an active sponsorship infrastructure and are far more likely to proceed through full H-1B filing.
Confirm your SOC code with the employer
Financial Data Analyst roles typically fall under SOC 13-2051 (Financial and Investment Analysts) or 15-2051 (Data Scientists). Ask your recruiter which code the employer plans to use on the LCA. It affects prevailing wage requirements and how USCIS evaluates specialty occupation status.
Target employers before February cap registration
USCIS opens H-1B cap registration in early March for an October 1 start date. Employers need weeks to prepare the LCA before registering. Start your offer negotiations by January so your employer can meet that internal lead time without rushing the filing.
Use Migrate Mate to find verified sponsors
Search Migrate Mate for Financial Data Analyst roles filtered by employers with confirmed H-1B LCA filing history. You'll see which companies have sponsored this specific job category recently, so you're targeting real opportunities rather than guessing at employer willingness.
Clarify premium processing before signing
Standard H-1B adjudication can take four to six months. If your current status or OPT end date is close, ask during the offer stage whether the employer will file for premium processing. USCIS adjudicates premium processing petitions within 15 business days.
H-1B Visa Financial Data Analyst: Frequently Asked Questions
Does a Financial Data Analyst role qualify as an H-1B specialty occupation?
Yes, Financial Data Analyst roles qualify because they require at least a bachelor's degree in a specific field such as statistics, finance, economics, or computer science. USCIS evaluates the job description to confirm the degree requirement is tied to the position itself, not just preferred. Roles that accept any bachelor's degree regardless of field can face RFEs on specialty occupation grounds, so detailed job descriptions matter.
How do I find employers actively sponsoring H-1B visas for this role?
Search Migrate Mate for Financial Data Analyst positions filtered by employers with verified H-1B LCA filing history. You can also cross-reference the DOL's OFLC Wage Search, which shows certified Labor Condition Applications by employer name and job title. Employers with recent LCA certifications for analyst roles already have the compliance infrastructure to support your petition.
Which SOC code applies to Financial Data Analyst positions on the LCA?
Most Financial Data Analyst roles fall under SOC 13-2051 (Financial and Investment Analysts) or 15-2051 (Data Scientists), depending on how heavily the role weights statistical modeling versus financial forecasting. The SOC code determines the prevailing wage level the employer must certify on the LCA. Confirm the code with your employer's immigration team before the LCA is submitted, since changing it later requires refiling.
What happens to my H-1B if I change employers after approval?
You can change employers under H-1B portability rules once USCIS has received and receipted a new I-129 petition from your next employer. You're authorized to start work at the new employer at that receipt point, without waiting for final approval, as long as you've held valid H-1B status for at least 180 days. Your new employer files a fresh LCA and petition specific to your Financial Data Analyst role and their wage structure.
Can my employer use O*NET data to support my H-1B specialty occupation argument?
Yes. O*NET publishes occupation profiles that describe the typical education and skill requirements for roles like Financial Analysts and Data Scientists. USCIS adjudicators and attorneys frequently reference O*NET to establish that a position normally requires a specific degree. Including the relevant O*NET job zone and education level in your petition support letter strengthens the specialty occupation argument, particularly for hybrid roles that blend financial analysis with data engineering.