Data Modeling Analyst, Sr. jobs in Lansing, MI

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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21 Data Modeling Analyst, Sr. jobs found in Lansing, MI area

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Identity Access Management
  • Denken Solutions
  • Lansing, MI
  • Mentors Security Engineers, Business Analysts, and global support teams to bolster their ... Identity Lifecycle Management Identity Data Models Access Lifecycle Management Runtime Enforcement ...
  • yesterday

Lansing /ˈlænsɪŋ/ is the capital of the U.S. state of Michigan. It is mostly in Ingham County, although portions of the city extend west into Eaton County and north into Clinton County. The 2010 Census placed the city's population at 114,297, making it the fifth largest city in Michigan. The population of its Metropolitan Statistical Area (MSA) was 464,036, while the even larger Combined Statistical Area (CSA) population, which includes Shiawassee County, was 534,684. It was named the new state capital of Michigan in 1847, ten years after Michigan became a state. The Lansing metropolitan area,...
Source: Wikipedia (as of 04/11/2019). Read more from Wikipedia
Income Estimation for Data Modeling Analyst, Sr. jobs
$108,219 to $134,344
Lansing, Michigan area prices
were up 1.3% 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.
August 05, 2019
Develop Residential, SMB and Health customer insights and data analytics to drive improvement in Customer Retention.
August 29, 2019
Develop and provide innovative ways to provide key actionable insights on a geographical basis to support field sales operations.
August 30, 2019