Even though job posting data is usually considered convenient for job seekers, it has very beneficial for businesses. It opens new competitive monitoring opportunities, companies can detect strategic moves, rapid company growth, and unusual signs of talent loss. Thus, consider adding structured job advertisements data to better understand the market and employee demand.

What is Job Postings Data?

Job posting data is a collection of data points found on job boards, aggregator sites, or career web pages. Specific data points usually include the job title, description and requirements, vital skills, location, name of the firm, and their details.

According to the latest HR stats, 97% of companies are planning bigger investments in recruitment technologies in the coming 2023 year, with 47% investing in AI technologies. Thus, job posting data can be very useful.

Job posting datasets can be sorted through various filters such as type of job, income level, location, how long has the job offer been up, and other filters that will make it easier for an individual or company to find what they are looking for.

Key Business Benefits of Job Postings Data

Job postings are the key to finding new employees and analyzing other competitor companies. In fact, a study shows that 43% of HR professionals mention that competition from other employers is the main reason they fail to hire the right employees.

However, this could become much lower if companies and big businesses use job postings data in their business decision-making strategies. Let us take a look at some benefits of job posting data:

• Additional data for investors. As an investor, you must research all aspects of a company, including its job postings. With a simple look at job descriptions, investors can detect the company's pain points and figure out if those can affect their investments.
• Understanding employee turnover. With access to other job postings from other companies, HR can analyze what postings have the most engagements. Then, they can use this to create similar ones. According to a study, 86% of employees and job seekers research company reviews and ratings to decide on where to apply for a job.
• Better analysis of the current job market. As an HR worker, you need to understand the labor market. With job postings data, you can analyze different salaries and job offerings. Thus, compare and identify specific competitive assets and what jobs are popular in what regions.

Main Job Posting Data Use Cases

The two main use cases for job postings data include the following:

Make data-driven recruiting decisions

For a business, the details and requirements on job posting datasets can give you complete visibility into what's happening in the market. It also gives insight into how others are recruiting, and what job conditions you need to provide to find top employees.

Find the best proposition

According to McKinsey, focusing on top talent is critical. After all, 20 to 30 percent of top-level jobs aren’t filled by the right professionals. Thus, knowing which job postings result in the best hires and how top companies formulate their job postings can get attention from top professionals.

With a job posting dataset, you can easily compare company job offers, what work conditions they offer, paydays and vacation days, the salary, and what skills each job posting requires.

Final Words

Job posting datasets are good to use for your extensive recruitment research. This is how you can improve your job postings and attract the right people to your company. Many businesses overlook job posting data. However, it can bring great benefits in terms of having enough data for a better decision-making process.

Check Out These Related Posts:

Top 10 All-Time Favorite Cocktails You Must Try How Google Dataset Search Can Benefit Your Marketing Plan All You Need To Know About Car Seat Reupholstery What Are Featured Snippets and How to Get Them