Graph and download economic data for Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over: Men (LEU0254584200A) from 2000 to 2024 about administrative, occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

In 2019 in Australia, the average salary of a senior database administrator was 90 thousand Australian dollars. By comparison, the average salary for an intermediate database administrator was 70 thousand Australian dollars.

United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over: Men was 99.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over: Men reached a record high of 99.00000 in January of 2024 and a record low of 25.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over: Men - last updated from the United States Federal Reserve on July of 2025.

Explore the progression of average salaries for graduates in Database Administration Technology from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Database Administration Technology relative to other fields. This data is essential for students assessing the return on investment of their education in Database Administration Technology, providing a clear picture of financial prospects post-graduation.

H-1B visa sponsorship trends for Database Administrator, covering top employers, salary insights, approval rates, and geographic distribution. Explore how job title impacts the U.S. job market under the H-1B program.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over: Women (LEU0254744400A) from 2000 to 2022 about administrative, second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

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

This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html

Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over: Men was 2496.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over: Men reached a record high of 2496.00000 in January of 2024 and a record low of 1088.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over: Men - last updated from the United States Federal Reserve on July of 2025.

Abstract

Looking for a job as Data Analyst? Maybe this dataset can help you.

About this dataset

Amidst the pandemic many people lost their jobs, with this dataset it is possible to hone the job search so that more people in need can find employment. This dataset was created by picklesueat and contains more than 2000 job listing for data analyst positions, with features such as: - Salary Estimate - Location - Company Rating - Job Description - and more.

How to use

• Find the best jobs by salary and company rating
• Explore skills required in job descriptions
• Predict salary based on industry, location, company revenue
• Your kernel can be featured here!
• Data Engineer Jobs
• Business Analyst Jobs
• Data Scientist Jobs
• More Datasets

Acknowledgements

If you use this dataset, please support the author.

License

License was not specified at the source

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Icon by Eucalyp available on flaticon.com

Graph and download economic data for Other Services (Except Public Administration) Wages and Salaries in Illinois (ILWOTH) from Q1 1998 to Q1 2025 about administrative, public, IL, salaries, wages, services, and USA.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over (LEU0254530800A) from 2000 to 2024 about administrative, second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Analysis of ‘Baltimore City Employee Salaries’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e35392a8-b2b3-4748-b696-1637b8e774a0 on 12 February 2022.

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

This dataset includes Baltimore City employee salaries and gross pay from fiscal year 2011 through last fiscal year and includes employees who were employed on June 30 of the last fiscal year. For fiscal years 2020 and prior, data are extracted from the ADP payroll system. For fiscal year 2021, the data are combined from the ADP system and the Workday enterprise resource planning system which now includes payroll.

Change Log
2021-10-29:
- Added FY2021 data
- Metadata added
- Columns renamed to a standard format
- Youth workers not employed by City removed
- Agency names reformatted with Workday conventions

Data Dictionary

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

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

The project, funded by the National Science Foundation (NSF) GRANTED program, focuses on identifying and addressing the critical needs and challenges faced by the research administrator workforce across institutions and organizations in the United States. The overarching goal is to develop a national job classification system that standardizes job titles, roles, and salary structures for research administrators. This initiative stems from the recognition that research administrators play a pivotal role in supporting faculty and enhancing research productivity. However, inconsistencies in job classifications and compensation have led to high turnover rates and recruitment challenges, particularly exacerbated by the COVID-19 pandemic. The project involved a comprehensive approach, including a virtual focus group, survey, and workshop, to gather diverse perspectives and develop actionable solutions. By creating a standardized system, the project seeks to improve recruitment, retention, and overall workforce effectiveness, contributing to the success and innovation of research enterprises nationwide. The following files are available and shared:1. Survey Instrument - This deposit includes the complete survey instrument used in the NSF-funded project. The survey is designed to collect data on the roles, responsibilities, and challenges faced by research administrators, aiming to gather insights to inform the creation of a national job classification system. The survey was distributed nationally using SurveyMonkey to a broad range of research administrators and was open for participation from June 17 to July 17, 2024. Distribution lists included the Society of Research Administrators International (SRAI) membership, National Council of University Research Administrators (NCURA) membership, NSF GRANTED listserv, Research Administration Listserv (RESADM-L), focus group participants, and the Midwest Research and Graduate Administrators Forum. Administered by SRAI on behalf of Jennifer Woodward and Evan Roberts, the survey remained open for 30 days with one reminder. No compensation was provided for participation. Questions 35 and 36 in the survey were adapted with permission from the CUPA-HR Employee Retention Survey. Sharing this instrument supports transparency and allows others to replicate and build upon the study.2. Survey Data - The survey data deposit contains the raw dataset collected using the survey instrument. The data includes responses from 2,441 research administrators across various institutions, providing a comprehensive view of their experiences and challenges. This dataset is essential for analyzing trends and validating findings that will contribute to the development of a national job classification system. The data are anonymized and shared to foster collaboration in addressing workforce issues and enhancing research administration effectiveness.3. Survey Analysis Slides - The slides summarize the analysis of the survey data. The slides present key findings and insights into the needs and challenges faced by research administrators, including issues related to job title consistency, roles and responsibilities, and salary structures. Visual representations, such as charts and graphs, illustrate the analysis of survey responses, highlighting significant challenges and potential solutions. These slides are shared to communicate the project's outcomes and support informed discussions on improving research administration through standardization and strategic initiatives.

This dataset provides valuable insights into the US data science job market, containing detailed job listings scraped from the Indeed web portal on 20th November 2022. It is ideal for those seeking to understand job trends, analyse salary expectations, or develop skills in data analysis, machine learning, and natural language processing. The dataset's purpose is to offer a snapshot of available positions across various data science roles, including data scientists, machine learning engineers, and business analysts. It serves as a rich resource for exploratory data analysis, feature engineering, and predictive modelling tasks.

Columns

• Title: The job title of the listed position.
• Company: The hiring company posting the job.
• Location: The geographic location of the job within the US.
• Rating: The rating associated with the job or company.
• Date: Indicates how long the job had been posted prior to 20th November 2022.
• Salary: The salary information provided in US Dollars ($). Please note that many entries in this column may be missing as salary details are often not disclosed in job listings.
• Description: A brief summary description of the job.
• Links: The direct link to the original job posting on the Indeed platform.
• Descriptions: The full-length description of the job, encompassing all details found in the complete job posting.

Distribution

This dataset is provided as a single data file, typically in CSV format. It comprises 1200 rows (records) and 9 distinct columns. The file name is data_science_jobs_indeed_us.csv.

Usage

This dataset is perfectly suited for a variety of analytical tasks and applications: * Data Cleaning and Preparation: Practise handling missing values, especially in the 'Salary' column. * Exploratory Data Analysis (EDA): Discover trends in job titles, company types, and locations. * Feature Engineering: Extract new features from the 'Descriptions' column, such as required skills, education levels, or experience. * Classification and Clustering: Develop models for salary prediction, or perform skill clustering analysis to guide curriculum development. * Text Processing and Natural Language Processing (NLP): Analyse job descriptions to identify common skill demands or industry buzzwords.

Coverage

The dataset's geographic scope is limited to job postings within the United States. All data was collected on 20th November 2022, with the 'Date' column providing information on how long each job had been active before this date. The dataset covers a wide range of data science positions, including roles such as data scientist, machine learning engineer, data engineer, business analyst, and data science manager. It is important to note the presence of many missing entries in the 'Salary' column, reflecting common data availability challenges in job listings.

License

CCO

Who Can Use It

This dataset is an excellent resource for: * Aspiring Data Scientists and Machine Learning Engineers: To sharpen their data cleaning, EDA, and model deployment skills. * Educators and Curriculum Developers: To inform and guide the development of relevant data science and analytics courses based on real-world job market demands. * Job Seekers: To understand the current landscape of data science roles, required skills, and potential salary ranges. * Researchers and Analysts: To glean insights into labour market trends in the data science domain. * Human Resources Professionals: To benchmark job roles, skill requirements, and compensation within the industry.

Dataset Name Suggestions

• Indeed US Data Science Job Insights
• US Data Science Job Market Analysis
• Data Professional Job Postings (Indeed USA)
• Data Science Career Opportunities (USA)

Attributes

Original Data Source: Data Science Job Postings (Indeed USA)

Analysis of ‘Salaries of teachers with 15 years of experience in the OECD’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/61e2e9a4556004b66114940b on 16 January 2022.

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

These files contain the gross salaries of teachers with 15 years experience in US dollars (USD) for early childhood education (earlychildedu), primary (pry), lower secondary (lowsry) and upper secondary (uppsry).

The following columns are found in each file: — year: year — ocde_min: minimum wage in all available OECD data — ocde_max: minimum wage in all available OECD data — ocde_med: median wage in all available OECD data — ocde_moy: average salary in all available OECD data — histo_min: minimum wage among countries whose data are available throughout the history — histo_max: minimum wage among countries whose data are available throughout the history — histo_med: median wage among countries whose data are available throughout the history — histo_moy: average salary among countries whose data are available throughout the history — Aus, AUT, CHL, etc.: country codes

Source: https://data.oecd.org/fr/teachers/salaires-des-enseignants.htm

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

This dataset is a listing of all current City of Chicago employees, complete with full names, departments, positions, and annual salaries. For hourly employees the annual salary is estimated. Data Owner: Human Resources. Frequency: Data is updated quarterly. For information on the positions and related salaries detailed in the annual budgets, see https://data.cityofchicago.org/browse?limitTo=datasets&q="Budget+Ordinance+-+Positions+and+Salaries"&sortBy=newest&tags=budget.

H-1B visa sponsorship trends for Sr. Sql Database Administrator, covering top employers, salary insights, approval rates, and geographic distribution. Explore how job title impacts the U.S. job market under the H-1B program.

Analysis of ‘Data Professionals Salary - 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/iamsouravbanerjee/analytics-industry-salaries-2022-india on 28 January 2022.

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

Context

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns towards effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.

Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, Big Data Analytics, retail analytics, supply chain analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modeling, predictive science, graph analytics, credit risk analysis, and fraud analytics. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics.

Content

This Dataset consists of salaries for Data Scientists, Machine Learning Engineers, Data Analysts, Data Engineers in various cities across India (2022).

Acknowledgements

For more, please visit: https://www.glassdoor.co.in/

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