Data Modeling Analyst, Sr. jobs in Anderson, SC

Data Modeling Analyst, Sr. develops data models to meet the needs of the organization's information systems. Manages the flow of information between departments through the use of relational databases. Being a Data Modeling Analyst, Sr. maintains data integrity by working to eliminate redundancy. Stays informed of the ways the organization uses its data. Additionally, Data Modeling Analyst, Sr. requires a bachelor's degree. Typically reports to a manager. To be a Data Modeling Analyst, Sr. typically requires 4 to 7 years of related experience. Contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. (Copyright 2020 Salary.com)

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0 Data Modeling Analyst, Sr. jobs found in Anderson, SC area

Anderson is a city in and the county seat of Anderson County, South Carolina, United States. The population was 26,686 at the 2010 census, and the city was the center of an urbanized area of 75,702. It is one of the principal cities in the Greenville-Anderson--Mauldin Metropolitan Statistical Area, which had a population of 824,112 at the 2010 census. It is further included in the larger Greenville-Spartanburg-Anderson, South Carolina Combined Statistical Area, with a total population of 1,266,995, at the 2010 census. Anderson is just off Interstate 85 and is 120 miles (190 km) from Atlanta an...
Source: Wikipedia (as of 04/11/2019). Read more from Wikipedia
Income Estimation for Data Modeling Analyst, Sr. jobs
$107,436 to $133,368
Anderson, South Carolina area prices
were up 1.5% from a year ago

Data Modeling Analyst, Sr. in Boca Raton, FL
Utilize correlations, cross tabs, and other statistical analyses to identify customer insights and drivers affecting retention, engagement & satisfaction.
September 07, 2019
Develop and provide innovative ways to provide key actionable insights on a geographical basis to support field sales operations.
November 02, 2019
Develop executive-level presentations to illustrate data insights, present key findings and drive key decision-making.
November 27, 2019