H-1B Visa Data Analytics Specialist Jobs
Data Analytics Specialist roles qualify as H-1B visa specialty occupations under USCIS guidelines, requiring at least a bachelor's degree in statistics, computer science, or a related quantitative field. Many employers in tech, finance, and healthcare actively file LCAs and sponsor H-1B visa petitions for these positions each fiscal year.
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INTRODUCTION
WSP is currently initiating a search for an Environmental Data Analytics Specialist for our Redmond, WA, Seattle, WA, or Portland, OR offices. Be involved in projects with our Environment, Remediation, and Water Team and be a part of a growing organization that meets our client’s objectives and solves their challenges.
Your Impact
- Perform both geographic and non-geographic data manipulation, data management and analysis, and develop/use automated data management processes using a variety of software environments.
- Revise existing GIS layers and create new layers following established standards and procedures.
- Maintain quality control standards and procedures for accurate and precise measurement and documentation.
- Assist with performing basic professional environmental science work relating to ecological systems, air, and water resources, assisting with verifying the characteristics of a site and providing entry-level technical assistance on various environmental issues.
- Work on multiple projects simultaneously, with a commitment to keeping projects on time and within budget.
- Work in a production-oriented environment as part of a team.
- Prepare technical documentation of project requirements, procedures, execution, and implementation plans.
- Maintain metadata and best practices to support systems and data.
- Assist in the preparation of various analytical reports and monthly progress reports suitable for meetings.
- Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.
- Perform additional responsibilities as required by business needs.
Who You Are
Required Qualifications
- Bachelor’s Degree in Environmental Science, Geology, Chemistry, Natural Resources Management, Geography, Computer Science, GIS, or a related science field.
- 1-3 years of experience in Environmental data.
- Experience using ESRI's ArcGIS Pro (ArcMap, ArcCatalog).
- Basic familiarity with database development and management (using MS Access and/or EQuIS).
- Basic familiarity with programming languages (for example Python, R, or Visual Basic).
- Familiarity with other Microsoft Office software (Excel, Office, Word, Access, and PowerPoint).
- Must possess good organizational and oral and written communication skills.
- Ability to work both independently and as part of a team.
- Excellent analytical / problem-solving skills.
- Competent interpersonal and communication skills when interacting with others, expressing ideas effectively and professionally to a scientific and non-scientific audience.
- Proficient self-leadership with attention to detail, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
- Basic proficiency with business writing, office automation and communication software, technology, and tools.
- Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies.
Preferred Qualifications:
- Master’s Degree in Environmental Science, Geology, Chemistry, Natural Resources Management, Geography, Computer Science, GIS, or a related science field.
- Experience with laboratory analytical data packages and electronic data reports.
- Experience using ESRI’s ArcGIS Spatial Analyst Extension.
- Proficient with programming languages Python, R, and/or Visual Basic.
- Experience with 3D environmental visualization software (e.g. LeapFrog, EVS).
- Experience with code version control systems such as git.
WSP Benefits:
WSP provides a comprehensive suite of benefits focused on a providing health and financial stability throughout the employee’s career. These benefits include coverage related to medical, dental, vision, disability, and life; retirement savings; paid sick leave; paid vacation (or other personal time); paid parental leave; and paid time off for purposes of bereavement, voting, and/or attendance at naturalization proceedings.
Compensation:
Expected Salary (all locations): $75,700 - $87,500
WSP USA is providing the compensation range that the company in good faith believes it might pay and offer for this position, based on the successful applicant’s education, experience, knowledge, skills, abilities in addition to internal equity and specific geographic location. WSP USA reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, and/or federal law.
WSP USA (and all of its U.S. companies) is an Equal Opportunity Employer Race/Age/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disability or Protected Veteran Status.
The selected candidate must be authorized to work in the United States.
NOTICE TO THIRD PARTY AGENCIES:
WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Analytics Specialist
Align your degree to the role
USCIS scrutinizes whether your specific degree field directly relates to data analytics work. A degree in statistics, mathematics, computer science, or information systems strengthens your specialty occupation argument more than a general business degree.
Use OFLC Wage Search before negotiating
Pull the prevailing wage for your exact SOC code and metro area before your offer conversation. Your employer's LCA must certify a wage at or above that level, so knowing it in advance keeps your negotiation grounded in what USCIS will actually approve.
Target employers with active LCA filing history
Search Migrate Mate to filter Data Analytics Specialist roles by verified employer LCA filing history. This surfaces companies already familiar with H-1B sponsorship processes, reducing the risk of offers falling through over paperwork unfamiliarity.
Document tool-specific expertise precisely
Employers filing H-1B petitions for analytics roles must show the position requires a specialized degree. Your resume and employer's support letter should name specific platforms like SQL, Python, Tableau, or Spark to reinforce that the role isn't generalist in nature.
Confirm employer E-Verify enrollment early
STEM OPT extensions require your employer to be enrolled in E-Verify. If you're bridging from OPT to H-1B, verify enrollment before accepting an offer, since switching employers mid-authorization period restarts the E-Verify confirmation process.
File premium processing if your start date is firm
USCIS offers premium processing for H-1B petitions, returning a decision within 15 business days. For analytics roles with project-driven start dates, this eliminates uncertainty around standard processing timelines that can stretch several months.
H-1B Visa Data Analytics Specialist: Frequently Asked Questions
Does a Data Analytics Specialist role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position genuinely requires at least a bachelor's degree in a directly related field such as statistics, computer science, or applied mathematics. Roles that accept any degree field regardless of subject can face RFEs from USCIS. Your employer's job description should tie specific duties like predictive modeling or statistical analysis to degree-level knowledge in those fields.
How do I find employers who actively sponsor H-1B visas for data analytics roles?
Migrate Mate lets you search Data Analytics Specialist openings filtered by employers with verified LCA and H-1B filing history. This approach focuses your search on companies that have already navigated the sponsorship process rather than those encountering it for the first time, which meaningfully reduces offer-to-petition drop-off risk.
What happens to my H-1B status if my employer switches me from a data analytics role to a different position?
A material change in your job duties, title, or work location can require your employer to file an amended H-1B petition with USCIS before the change takes effect. Moving from a specialist analytics role into a broader data science or engineering function may cross that threshold, especially if the SOC code or prevailing wage level changes. Confirm with your employer's immigration counsel before accepting any internal transfer.
Can I use my O*NET occupation profile to support my H-1B specialty occupation argument?
Yes. The O*NET profile for Data Analytics Specialist-type occupations documents typical education requirements and core knowledge areas, which employers and attorneys use to build specialty occupation arguments in the H-1B petition. If your job duties align closely with O*NET's described tasks, that alignment strengthens the petition's supporting documentation.
Does working remotely in a different state affect my H-1B as a Data Analytics Specialist?
Yes. Your employer must file a separate LCA with DOL for each worksite location where you'll perform services for more than 60 workdays per year. If you relocate to a different metro area under a fully remote arrangement, your employer needs a new certified LCA reflecting that location's prevailing wage before you begin working there, since wage levels vary significantly by geography.