# Competitor Hiring by Occupation

> Each listed company's open job postings by occupation group, with its new postings over 30 and 7 days and its rank among its industry peers.

InfoTrie's competitor hiring dataset shows, for each listed US company, how many postings it has open on its own career sites, by SOC 2018 occupation group, how many of them are new over the last 30 and 7 days, and where it ranks on new postings among the companies of its industry group (NAICS). It is built from one day's job postings, keyed by SEC CIK and ticker.

Status: In rollout — available on request.

## Key facts

| | |
|---|---|
| Grain | One row per company and SOC major group, plus a total row and an uncoded row per company |
| Measures | Open postings, new over 30 and 7 days, remote postings, share of the company's postings |
| Peers | The companies of the same NAICS industry group (first 4 digits); rank and share of the group's new postings |
| Identifiers | SEC CIK, ticker, company name |
| History | The 30- and 7-day windows and the ranks stay empty until the collection history covers them; the history's start is on every row |
| Frequency | One edition per day |
| Delivery | InfoTrie console datasets (CSV editions) and the BI feed, on job postings plans |

## Sources

- InfoTrie job postings, from employers' own career sites and applicant-tracking systems
- SEC company identifiers (CIK, ticker)

## Data dictionary

| Field | Type | Description |
|---|---|---|
| `day` | date | Delivery day |
| `key` | string | cik:soc_major, unique per row |
| `cik / ticker / name` | string | The company |
| `naics / peer_group` | string | Its main industry, and the NAICS industry group it is ranked in |
| `soc_major / soc_major_title` | string | SOC 2018 major group, ALL for the company's total, or UNCODED |
| `active` | int64 | Postings listed that day |
| `new_30d / new_7d` | int64 | Of those, first seen in the last 30 or 7 days; empty while the history does not cover the window |
| `remote` | int64 | Postings marked remote |
| `share_of_company` | float64 | Share of the company's open postings |
| `peer_companies / peer_rank_new_30d / peer_share_new_30d` | int64 / int64 / float64 | Peers hiring in the group, the company's rank on new postings (1 = most) and its share of them |
| `complete` | bool | False when some of the company's boards were not read in full that day: counts are then a floor |
| `history_from` | date | When the collection history behind the windows starts |

## Use cases

- **Competitive intelligence.** See which occupations competitors are hiring for and how fast, against their industry peers.
- **Hiring signals for investors.** Compare a company's hiring momentum with its industry group's.
- **Talent planning.** Spot the peers competing for the same occupations.

## Delivery

- InfoTrie console: one edition per day as CSV, its rows and quality status, on job postings plans
- BI feed: OData v4 for Power BI, Excel and Tableau; JSON or CSV pages for Qlik, Google Sheets and Looker Studio

## FAQ

### Why are the 30-day and 7-day counts empty?

Until the collection history covers a window, every posting would look new in it. The counts and ranks stay empty rather than wrong, and history_from says when the history starts.

### Does it name individuals?

No. It counts companies' own public postings; it names companies, never recruiters or candidates.

## See also

- [Talent Forensics](https://infotrie.com/labor-analytics-talent-forensics)
- [Job Postings from Company Career Sites](https://infotrie.com/datasets/job-postings-ats)
- [Salary Benchmarks from Job Postings](https://infotrie.com/datasets/salary-benchmarks)
- [Skills in Demand from Job Postings](https://infotrie.com/datasets/skills-in-demand)
- [BI connectors](https://infotrie.com/docs/bi-connectors)
- [Request a sample or a quote](https://infotrie.com/contact)