Consulting firm specializing in SOA, Enterprise Architecture, Performance Tuning, IT strategy. Niche is project-based software development in .Net & J2EE technologies.Founded in 1997, Data Concepts is an established company that loves to hire graduates from Baylor University, with 11.8% of its employees having attended Baylor University. Want to compare Data Concepts to some other great places to work in Virginia? We suggest taking a look at Zippia's list of Best Companies to Work For in Virginia.The average employee at Data Concepts makes $77,507 per year. Pay at Data Concepts is significantly lower than some of its highest paying competitors, like Informatica, Cnsi, and Orion Systems Integrators, which pay $113,301, $95,617, and $93,542, respectively.Data Concepts is a small technology company based in Virginia with only 50 employees and an annual revenue of $7.2M.
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Data Concepts employee reviews
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Great culture - Awesome projects in the Java/JEE and Data Analytics space. When it comes to the digital transformation of business, clients look to Data Concepts. Companies across the economy are using digital services from data Concepts and its advanced analytics to unlock new sources of economic value and achieve step-function improvements in productivity, flexibility, and speed.
Data Concepts benefits
-Tuesday Bagel Day
-Easy access to the leadership team
-Golf outings
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The team at Data Concepts
The founders of Data Concepts is Nathan Byrne.
The key people at Data Concepts are Rooz Dadabhoy and Nathan Byrne.
Key people
Rooz Dadabhoy
Nathan Byrne
Data Concepts rankings
Data Concepts is ranked #20 on the Best companies to work for in Glen Allen, VA list. Zippia's Best Places to Work lists provide unbiased, data-based evaluations of companies. Rankings are based on government and proprietary data on salaries, company financial health, and employee diversity.
We calculated Data Concepts’s diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Data Concepts’s workforce.
Data Concepts diversity summary. Zippia estimates Data Concepts's demographics and statistics using a database of 30 million profiles. Zippia verifies estimates with BLS, Census, and current job openings data for accuracy. We calculated Data Concepts's diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Data Concepts's workforce.
Data Concepts has 50 employees.
34% of Data Concepts employees are women, while 66% are men.
The most common ethnicity at Data Concepts is White (59%).
15% of Data Concepts employees are Asian.
14% of Data Concepts employees are Black or African American.
The average employee at Data Concepts makes $77,507 per year.
Employees at Data Concepts stay with the company for 3.5 years on average.
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Data Concepts financial performance
8.5
Performance score
Highest paying Data Concepts competitors
Compare Data Concepts salaries to competitors, including Informatica, Cnsi, and Orion Systems Integrators. Employees at Informatica earn the highest average yearly salary of $113,301. The salaries at Cnsi average $95,617 per year, and the salaries at Orion Systems Integrators come in at $93,542 per year.
Rank
Company
Average salary
Jobs
1
$113,301
0
2
$95,617
0
3
$93,542
0
4
$92,585
0
5
$90,715
0
6
$89,074
0
7
$88,313
0
8
$87,395
0
9
$86,574
0
10
$85,162
0
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Zippia gives an in-depth look into the details of Data Concepts, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Data Concepts. The employee data is based on information from people who have self-reported their past or current employments at Data Concepts. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Data Concepts. The data presented on this page does not represent the view of Data Concepts and its employees or that of Zippia.
Data Concepts may also be known as or be related to Data Concepts and Data Concepts, LLC.