Home / Roles / Titles / Marketing Associate / NJ / FY2019
Marketing Associate H-1B roles in NJ, FY2019
Exact-title LCA role declarations for Marketing Associate in NJ during FY2019. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 2 returned rows using keyset pagination.
Summary
This view lists 2 H-1B LCA role records.
Offered wages among the returned rows range from $47,341 to $47,840.
Employers in the returned rows include FOUNTAINHEAD CAPITAL MANAGEMENT, LLC, GHIMAD ADVERTISING AGENCY.
LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
| Role | Employer | SOC | Status / visa | Decision | Worksite | Offered wage | Prevailing wage | Source |
|---|---|---|---|---|---|---|---|---|
| MARKETING ASSOCIATE I-200-19060-797066 | FOUNTAINHEAD CAPITAL MANAGEMENT, LLC | 13-1161 MARKET RESEARCH ANALYSTS AND MARKETING SPECIALISTS | CERTIFIED-WITHDRAWN / H-1B FY2019 | 2019-03-15 2019-09-05 to 2022-09-04 | Edison, NJ, 8837 | $47,341 year | $47,341 | sr_dol_oflc_lca_2019_q2_row_046750 |
| MARKETING ASSOCIATE I-200-19063-662368 | GHIMAD ADVERTISING AGENCY | 13-1161 MARKET RESEARCH ANALYSTS AND MARKETING SPECIALISTS | CERTIFIED / H-1B FY2019 | 2019-03-14 2019-09-06 to 2021-09-05 | Englewood Cliffs, NJ, 7632 | $47,840 hour | $47,840 | sr_dol_oflc_lca_2019_q2_row_046562 |
End of returned pageReset
Frequently asked questions
- What are the offered H-1B wages for Marketing Associate H-1B roles in NJ, FY2019?
- Offered wages among the returned Marketing Associate H-1B roles in NJ, FY2019 rows range from $47,341 to $47,840 in DOL LCA filings. LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
Get this page with API
Rendered from the bluedoor H-1B Jobs API. Reproduce it:
GET https://api.bluedoor.sh/h1b-jobs/v1/roles?limit=50&title=marketing+associate&title_match=exact&state=NJ&fiscal_year=2019JSON