How Does Data Science And Analytics Help Job Portals?

Introduction to Data Science in Job Portals:

What can an award-winning journalist, a photo editor, the CEO of a fast food restaurant chain and an investment banker have in common? Guesses? If you’ve guessed any data, you’re right. Every industry has seen an increase in data-backed decisions. This is beneficial in several ways. There is less chance of getting it wrong, as long as you use correct data and draw correct analysis. You will no longer need to depend on using guesswork or random polls to decide solutions to your business problems.

Data Science and Analytics has helped companies make use of the huge amount of data generated within their business as well as that from external sources like the web. When it comes to job portals and job boards, most of their data sources are external and therefore require a lot of data cleaning and sorting to make it easier for users to use the data. data, analyze it and possibly run models on it.

Data Science Vs Data Analytics:

First of all, we need to understand the difference between these terms, as they are often used interchangeably (and incorrectly). Since we’ll be discussing how both are beneficial for job portals, it’s important to have a basic understanding of both. Data science is an umbrella term for all fields used to extract information from large data sets. Data analysis is a more focused subset, which mainly deals with actionable elements applied or implemented very easily in business processes.

Another big difference is the degree of exploration. Data science is mostly about analyzing huge data sets, using common methodologies in the hope of exposing certain metrics and information. This gives you an overview of the data available. On the other hand, data analysis helps answer specific questions and draw conclusions that reveal hidden gems in the data. Let me explain this to you with some data. Suppose you are fetching job postings for a certain industry from a website like Indeed.

You are now with millions of job offers in a given region and industry. You can explore the data and find information such as – people with more than 5 years of work experience can expect to double the pay or find an outlier – a company that pays a lot more than its competition because she wants the best talent. It would all be a matter of data science. But let’s say you want to know which perks are most common among companies in the industry, and you want to stack them by how often they are listed in the jobs you pulled. Now that will fall under the data analysis as you are trying to find the answer to a very specific question.

What can data science and analytics do?

When it comes to employment data, a lot. Today, work data is collected by anyone with a good scraping engine and time. New regional and niche job sites are seen every day, and they aim to cater to a smaller clientele but in a more personalized way. What they lack is to do more with the data in hand. Simply presenting the data in infinite scrolling with a few regular filters may not be enough in today’s world. Data science and analytics can differentiate a job portal when used correctly.

There are several applications, but some would be:

  • Automatic matching of candidates to job profiles:

Matching job profiles or job postings to candidates is something recruiters try to do manually for hours on end. However, data science and machine learning models built on the data can help solve this problem in minutes.

The extent of the accuracy of the results will depend on how you analyzed the data and the separate data points that are critical in identifying a suitable candidate. The process can help on both ends of the spectrum. You can offer this service to companies that need to screen candidates or find the best candidates for a position, or even to job applicants who want to know which candidates they are best suited for. This is probably the most complicated solution that job portals can use in addition to their data, but also the most desirable and can give you a leg up on your competition.

  • Possibility to create custom filters

What filters do you usually see in job postings? Filter by location? Filter by post? Salary? Well, what about filtering jobs for software engineers where the mentioned programming languages ​​are Java and Python? Or what about a post where the keyword “marketing” should be present but not “sales”? Such custom filters are not easy to create. But are important for better data analysis and also to make it easier for job seekers to get the job they want. The choice of which filters to create can be made based on tracking search patterns and other data generated by users of your job site.

  • Presentation of daily information

Although it may not be particularly helpful when applying for jobs. Such information can attract a larger and more varied crowd to your job site. This information can range from “289 Data Engineer jobs posted on our website today”. to “76 candidates who applied for the position of human resources manager at Xyz Inc. are selected.”

  • Personalized measurements based on their profile

When you apply for a job, one of the first questions that pops into your head is, “Where do I fit in the crowd?” Fortunately, in today’s world, data answers these questions and more. Websites like Linkedin already provide more in-depth information when applying for jobs for people on the paid premium plan. This information can help candidates obtain certifications or learn about the technologies they might need to find a job. Suppose a software engineer finds that a programming language is known to most of its competitors when applied to different jobs. He will likely learn the language or do a MOOC and then apply for jobs with his recently updated credentials.

  • Data can even help candidates with personalized queries

Let’s say that a candidate who crosses your job board is not sure what salary he should expect with his given experience. Or he doesn’t know whether he should apply for the role of associate professor or head professor. By using the data at your disposal, you can help candidates get these questions answered using personalized queries.

Conclusion:

Data is the key to everything today, from revealing market secrets. Or find the secret sauce to make your business successful. While some business sectors are still stuck in the brick and mortar format. Job searching moved on the web a long time ago. Whether you get job offers from companies or pull them off websites. Data can help build more and more services, and it’s the only way to innovate more in the field of job search. Our team at PromptCloud helps job portals and online job boards with an automated job search tool called Pikr Jobs. This not only allows you to get job postings in an automated plug-and-play format. But also streamlines the data flow through the use of custom filters and preprocessing.

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