Track the number of open job listings at major public and private companies around the world in real time. Then filter to gain in-depth competitive insights into specific market, location, and job categories.
Thinknum's "Job Listings" dataset allows users to better understand the hiring plans of an individual company. By tracking who and where a company is looking to hire, this dataset serves as an indicator on whether a company is growing or contracting.
Why To Buy
Track changes in open job categories overtime to gain insights into a company’s corporate strategy and growth. Or use our Word Cloud tool to visualize popular words in companies’ new job listings.
Dataset Specs
Feature
Value
Update Frequency
Daily
Data Categories
Business Insights, Employment, Private Company, Web Scraping
This product will require a subscription request which will need to be verified and approved. In your subscription request, please provide the general use case for this data product, the number of users who will be accessing this data product, Sector/Industry of users, and regions in which this data product will be used.
Explore and Test Data Now
BattleFin Ensemble enables ready access to historical data in BattleFin’s SandBox Environment that comes with multiple testing tools including Python, R and analytics platforms. For users testing it for investment use cases, you will have access to equities/ETF market data, company fundamentals, analyst estimates, and other supplemental products. You will also have access to value added information on all data products that make it easy to understand the nuances of each product and compare them. Most products also have a pre-built Jupyter Notebook that you can use as a starting point to explore data.
If you already have Ensemble credentials, please login at: https://www.battlefinensemble.com/index.html to start exploring and testing this product.
If you would like to get more information on Ensemble or talk to an alternative data expert about your requirements or request a trial subscription, please share your information at: https://web.battlefin.com/data-buyer-interest-form-dc
BattleFin is a technology and events company focused on bringing alternative data to the world. Our Ensemble(c) platform allows corporations, hedge funds and investment firms to Source, Evaluate, Test and Purchase alternative data. BattleFin Alternative Data Discovery Days are One-on-One meeting events held in London, Hong Kong, Miami and New York.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This is a free trial listing with a single pricing dimension: Product Access (Units). You subscribe once and gain access to the job listings dataset at no cost. There are no tiers, usage add-ons, or size variations to choose from. The single unit simply grants you entry to the trial. Because it is a trial, pricing does not scale with volume or consumption. You get access to explore the data before deciding on any paid arrangement.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit grants your subscription access to the Job Listings dataset trial. It works as a single access grant, not a per-user, per-record, or per-query meter. You do not select quantities or sizes. The unit simply enables you to explore the job listings data during the trial period.
What kind of data does this trial provide access to?
You access job listings data, part of an alternative dataset used by financial firms for market insights. Alternative data means non-traditional sources that help track trends like hiring activity. The trial lets you evaluate this dataset before deciding on any paid arrangement.
www.battlefin.com
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Vendor refund policy
Refunds are not available for this data set.
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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