Employment Data means any information about an identified or identifiable individual that is obtained in the context of such person’s working relationship with Servicer Performance Guarantor, Servicer or any Affiliate. Such persons include, for example, job applicants, employees (whether temporary or permanent), contingent workers, retirees, and former employees, as well as any dependents or others whose Personal Data have been given to Servicer Performance Guarantor or Servicer or any Affiliate by such persons.
Employment Data means information including the name of each employer and employee and the name, ethnicity, gender, veteran status, zip code, and total hours worked and pay of each employee.
Employment Data has the meaning provided in Section 11.1.3.
Examples of Employment Data in a sentence
The data currently housed in the Employment Data and Analysis Systems (EDAS) will be the source of the requested information.
Equal Employment Data Forms showing the current utilization of minorities and women by job category within your organization.
Special attention should be given to completing Form P-25, "Employment Data and Certification".
The Company collects, processes and uses the Grantee’s personal data in compliance with the Company’s Employment Data Protection Standards and the Uses of Employment Data for the Company’s entities.
The Company collects, processes and uses the Grantee’s personal data in compliance with GE's Employment Data Protection Standards and the Uses of Employment Data for GE Entities.
More Definitions of Employment Data
Employment Data. This includes information relating to a person’s current, past or prospective employment or professional experience (e.g. job history, performance evaluations), and educational background, qualifications, references, training data, grievances, salary data, benefits information, absence data, background check, survey 2 See footnote 1. responses, time and attendance, equal opportunities, monitoring information, dependent and beneficiary information; • Commercial Data: This includes account information, customer correspondence (e.g. support or requesting information), marketing preferences, transactions, spending and spending patterns, merchant data (for merchants who are individuals), products or services purchased, obtained or considered, or other purchasing or consuming histories or tendencies; and • Other categories of Personal Data defined in Schedule 3. • Anonymised/Aggregated Data: Fiserv may also process Personal Data obtained from a Data Subject which has been aggregated to a point where the individual is no longer able to be identified within the dataset.
Employment Data has the meaning given such term in Schedule 1, Section 3.2(d).
Employment Data is defined in Section 3.9(a).
Employment Data is defined in Section 3.9(a). “Fee” is defined in Section 3.4.
Employment Data means employment data of Employees provided by, or on behalf of, an Employer to us, but excludes Income Data.
Employment Data means key information on a Population Member’s employment status received from NYSDOL:
(i) Variables: DOCCS Research will obtain Employment Data from NYSDOL, which will source Employment Data from quarterly Unemployment Insurance Wage Records. Employment Data includes the following variables on an individual-level: • Individual Employment Outcome • Quarterly Earnings • Whether the Population Member is Employed with Service Provider (“Subsidized Employment”) or Employed with another employer (“Unsubsidized Employment”), which will collectively mean the Type of Employment1
(ii) Data Collection: By about the 1st day of each calendar quarter, starting the third quarter after the Service Commencement Date, DOCCS Research will provide NYSDOL with the NYSID, SSN, Event Date, and the Treatment or Control Population flag for each Population Member. By about the 15th day of the same month, NYSDOL will provide DOCCS Research with Employment Data for each Population Member for whom Employment Data is available as of the date on which NYSDOL measures Employment Data.
Employment Data. This includes Information relating to a person's current, past, or prospective employment or professional experience (e.g., job history, performance evaluations), and educational background, qualifications, references, training data, grievances, salary data, benefits information, absence data, background check, survey responses, time and attendance, equal opportunities, monitoring information, dependent and beneficiary information. • Commercial Data: This includes account information, customer correspondence (e.g., support or requesting information), marketing preferences, transactions, spending and spending patterns , merchant data (for merchants who are individuals), products or services purchased, obtained, or considered, or other purchasing or consuming histories or tendencies. • Other categories of Personal Data defined in Schedule 2. • Anonymised/Aggregated Personal data obtained from Data Subject which has been aggregated to a point where the individual is no longer able to be identified within the dataset.