41 tracked roles · 32 in the last 30 days · 8 states
41 tracked roles, 32 of them posted in the last 30 days.
Against 6 companies hiring for a similar technology mix (Oracle, Intuitive, GRVTY and others), NielsenIQ posted 32 roles in the last 30 days against a peer median of 82 — 0.4× the pace.
| Company | Roles | Last 30d | States | Visa filings |
|---|---|---|---|---|
| NielsenIQ | 41 | 32 | 8 | — |
| Oracle | 795 | 374 | 40 | 1,685 |
| Intuitive | 218 | 117 | 11 | 459 |
| GRVTY | 233 | 82 | 13 | — |
| Cresta | 62 | 8 | 2 | — |
| Miratech | 80 | 56 | 17 | — |
| Sandisk Technologies, Inc. | 61 | 28 | 1 | 226 |
Peers are derived from the data, not assigned by hand: the companies whose postings mention the most similar set of technologies. Shown only where the overlap is large enough to be meaningful, which is why many companies have no comparison here.
| Technology | Their postings | US openings | Rank in category |
|---|---|---|---|
| LLMs | 9 | 33,788 | #2 in ml |
| Databricks | 8 | 17,195 | #1 in warehouse |
| Kubernetes | 6 | 47,284 | #1 in infra |
| Apache Spark | 6 | 3,086 | #3 in transform |
| PostgreSQL | 4 | 12,770 | #1 in database |
| MongoDB | 3 | 7,274 | #2 in database |
| Terraform | 3 | 27,747 | #3 in infra |
| pandas | 2 | 5,070 | #2 in transform |
Market openings come from the job board's market-wide index, updated daily, so they do not depend on which postings Signal collected. Ubiquitous tools such as Python and SQL are excluded because naming them says nothing about an employer.
No Department of Labor filings matched this employer.
Absence of a match is weak evidence: employers file under legal entity names that do not always resolve to the name on a job posting, and only matches confident enough to state as fact are shown.
| Technology | Share of their postings | Postings |
|---|---|---|
| IMS | 44 | |
| SQL | 19 | |
| Azure | 17 | |
| Python | 15 | |
| Git | 12 | |
| LLMs | 9 | |
| Databricks | 8 | |
| Docker | 8 | |
| Machine Learning | 8 | |
| Java | 7 |