Classification establishes and maintains the County's job classifications and compensation systems and practices, with equity, consistency, and due regard for pay competitiveness. Positions are analyzed and assigned to appropriate job classificationsJob Descriptions -- Frequently Asked Questions -- Classification and Compensation Documents

Analysis of ‘Pay Stations’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d4d8c772-d19a-4889-8dbd-24fd67f80604 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Displays the locations of Paid Parking Kiosks that distribute a receipt that is displayed in the vehicle.

| Attribute Information: https://www.seattle.gov/Documents/Departments/SDOT/GIS/Pay_Station_OD.pdf

| Data Update Cycle: Weekly (Due to issues with nightly update)
| Contact Email: DOT_IT_GIS@seattle.gov

--- Original source retains full ownership of the source dataset ---

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for geographic information science (gis) in the U.S.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for gis in the U.S.

An interactive dashboard, updated regularly, published by the municipal government of the City of Vancouver, Washington. Shows rates and ranges of pay for job classifications and grades in union, nonunion, and combined (all positions) categories.NOTE: This product and the information shown is provided "AS IS" and exists for informational purposes only. The City of Vancouver (COV) makes no warranties regarding the accuracy of such data. This product and information is not prepared, nor is suitable, for legal, engineering, or surveying purposes. Any sale, reproduction or distribution of this information, or products derived therefrom, in any format is expressly prohibited. Data are provided by multiple sources and subject to change without notice.

This Story Map portrays the evolution of GIS at the City of Boise. Boise City GIS was initiated in 1989 when the Public Works Department hired a senior GIS analyst to create and maintain sewer data in a GIS. Over the years, in response to ever increasing demands for GIS services, Boise City GIS continued to grow and evolve. In 2006 GIS was reorganized, placing the GIS manager and GIS systems analysts under the Information & Technology Department to support the GIS infrastructure and develop a full-fledged enterprise GIS. At the same time, several GIS analysts and technicians were placed in other departments to support specific business functions

Costs to the City for salary and benefits listed by job title. Costs to the City for salary and benefits listed by job title. Data contains historical information from year 2014 to Present

Tempe is among Arizona's most educated cities, lending to a creative, smart atmosphere. With more than a dozen colleges, trade schools and universities, about 40 percent of our residents over the age of 25 have Bachelor's degrees or higher. Having such an educated and accessible workforce is a driving factor in attracting and growing jobs for residents in the region.The City of Tempe is a member of the Greater Phoenix Economic Council (GPEC) and with the membership staff tracks collaborative efforts to recruit business prospects and locates. The Greater Phoenix Economic Council (GPEC) is a performance-driven, public-private partnership. GPEC partners with the City of Tempe, Maricopa County, 22 other communities and more than 170 private-sector investors to promote the region’s competitive position and attract quality jobs that enable strategic economic growth and provide increased tax revenue for Tempe.This dataset provides the target and actual job creation numbers for the City of Tempe and Greater Phoenix Economic Council (GPEC). The job creation target for Tempe is calculated by multiplying GPEC's target by twice Tempe's proportion of the population.This page provides data for the New Jobs Created performance measure.The performance measure dashboard is available at 5.02 New Jobs Created.Additional InformationSource:Contact: Madalaine McConvilleContact Phone: 480-350-2927Data Source Type: Excel filesPreparation Method: Extracted from GPEC monthly and annual reports and proprietary excel filesPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for forest engineering (gis) in the U.S.

The County of Suffolk Annual Salaries File for the Year 2018 is a yearly summary of Payroll Data for all Suffolk County employees. This file contains the Employee Names and Hired Date along with their most recent Job Title and Department. In addition, the file contains the Employee’s Regular Pay Rate (Hourly, Biweekly or Annual Salary), the Year to Date Regular Earnings, Longevity Pay, Overtime Pay, and Other Payments (comprised of Holiday Pay, Night Differential Pay, Cleaning and Clothing Allowances, Taxable Legal Benefit Amounts, etc.). If an employee has been terminated or has separated from County employment, the Separation Payment Amount (if applicable), and Termination Date is also included.

Additional information about the Dataset Attributes are listed below. Please feel free to contact us if you have any questions about this dataset.

Year: Year of employment Last Name: Employee Last Name First Name: Employee First Name Department: Department Name Job Title: Job Title Bargaining Unit Number: Bargaining Unit Bargaining Unit Name: Bargaining Unit Name Salary: Regular Salary Earnings for the Year Longevity Pay: Longevity Pay Overtime Pay: Overtime Pay Separation Pay: Separation Payment of Sick, Vacation and Personal Time Accruals Other Pay: Special Payments - Holiday Pay, Night Differential, Cleaning Clothing Tool Allowance, Legal Benefit Total Earnings: Total Earnings for the Year Separation Date: Date of Termination/Separation from Suffolk County

description: Dataset featuring the full-time, part-time and seasonal jobs, as well as internships posted on the City's job portal @ https://www.raleighnc.gov/jobs This dataset is updated weekdays by 9am and does not contain past (non-active) postings.; abstract: Dataset featuring the full-time, part-time and seasonal jobs, as well as internships posted on the City's job portal @ https://www.raleighnc.gov/jobs This dataset is updated weekdays by 9am and does not contain past (non-active) postings.

The County of Suffolk Annual Salaries File for the Year 2024 is a yearly summary of Payroll Data for all Suffolk County employees. This file contains the Employee Names and Hired Date along with their most recent Job Title and Department. In addition, the file contains the Employee’s Regular Pay Rate (Hourly, Biweekly or Annual Salary), the Year to Date Regular Earnings, Longevity Pay, Overtime Pay, and Other Payments (comprised of Holiday Pay, Night Differential Pay, Cleaning and Clothing Allowances, Taxable Legal Benefit Amounts, etc.). If an employee has been terminated or has separated from County employment, the Separation Payment Amount (if applicable), and Termination Date is also included.

Using the coronavirus infographic template in Business/Community Analyst Web (ArcGIS Blog).Business Analyst (BA) Web infographics are a powerful way to understand demographics and other information in context. This blog article explains how your organization can use the Coronavirus infographic template that was added to the infographics gallery on March 1, 2020._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Analysis of ‘GIS Open Data Inspector (GODI) - Datasets’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/04a2a91a-4008-487b-8e13-8208350ecd58 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Data record audit of feature classes within the MD iMAP spatial database.

--- Original source retains full ownership of the source dataset ---

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for applied geospatial science in the U.S.

The Long Island Sound Study developed these digital data from 1:100,000-scale National Oceanic & Atmospheric Administration (NOAA) and United States Geological Survey (USGS) maps as a general reference to the depth of water in Long Island Sound. In 1996, these data were digitized from paper maps by the Long Island Sound Study (http://www.longislandsoundstudy.net) and incorporated into a Long Island Sound GIS database. Not intended for maps printed at map scales greater or more detailed than 1:100,000 scale (1 inch = 1,578 feet.) Dataset credit: Applied Geographics, Inc. of Boston, Massachussets was contracted by the Long Island Sound Study to automate and digitize these bathymetry data for Long Island Sound. Linda Bischoff, GIS Analyst, digitized the data and created the orginal metadata.

This layer (hosted feature layer) depicts water valves in the City of Canton, GA. This data set is maintained by the City of Canton's GIS division.For specific questions about this data or to provide feedback, please contact the City's GIS division: Alaina Ellis GIS Analyst alaina.ellis@cantonga.gov (770) 546-6780 Canton City Hall 110 Academy Street, Canton, GA 30114

This layer (hosted feature layer) depicts the fire hydrants in the City of Canton, GA. This data set is maintained by the City of Canton's GIS division.For specific questions about this data or to provide feedback, please contact the City's GIS division: Alaina Ellis GIS Analyst alaina.ellis@cantonga.gov (770) 546-6780 Canton City Hall 110 Academy Street, Canton, GA 30114

Off-road ATV usage is widespread in many regions of the Izembek Refuge, especially adjacent to official roads north and west of Cold Bay. GIS analysts manually digitized ATV tracks in this region using aerial imagery collected in May 2022 and processed by Mark Laker (Alaska Refuge Remote Sensing Coordinator) during that summer. This aerial imagery has a ground-resolution of 10-20 cm. GIS Analyst Tristan Amaral (Alaska Refuge Natural Resources Program) created this layer and GIS Analysts Dan Quinn (Alaska Refuge Natural Resources, daniel_quinn@fws.gov) completed the project. The layer exists as a Hosted Feature Layer on ArcGIS Online.

This layer (hosted feature layer) depicts the citizens that are water customers in the City of Canton, GA. This data set is maintained by the City of Canton's GIS division, and is updated on a regular basis to depict the current customers. For specific questions about this data or to provide feedback, please contact the City's GIS division: Alaina Ellis GIS Analyst alaina.ellis@cantonga.gov (770) 546-6780 Canton City Hall 110 Academy Street, Canton, GA 30114