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Mayvue

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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data factory, azure, adf, sql, power bi, business intelligence Logo
data factory, azure, adf, sql, power bi, business intelligence

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

NEW! NEW!
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Mayvue

Pittsburgh, Pennsylvania

NEW! NEW!
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eNGINE

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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United States Steel Corporation

Pittsburgh, Pennsylvania

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Kurt J Lesker Company

Jefferson Hills, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh (South), Pennsylvania

University of Pittsburgh, Office of Human Resources

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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Management Science Associates, Inc.

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

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Management Science Associates, Inc.

Pittsburgh, Pennsylvania

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ConsultUSA and PMCentersUSA Solutions Provider

Pittsburgh, Pennsylvania

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eNGINE

Pittsburgh, Pennsylvania

ConsultUSA and PMCentersUSA Solutions Provider Logo
ConsultUSA and PMCentersUSA Solutions Provider

Pittsburgh, Pennsylvania

ConsultUSA and PMCentersUSA Solutions Provider Logo
ConsultUSA and PMCentersUSA Solutions Provider

Pittsburgh, Pennsylvania

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Project Lead (Data Management Project Lead)
Responsibilities: Manage and provide leadership on complex projects and is able to proactively identify, communicate and solve problems; set projects goals based on broad objectives assigned by internal management or client. Work with internal teams and/or client to recommend methods to accomplish desired results; translate client requirements into operational instructions and question atypical requests; provide time and resource estimates upon request; prepare schedule analysis reports for internal and external use. Design, document and implement new processes and procedures applying industry knowledge and experience to cut costs, gain efficiencies, minimize risks and reduce time to market with attention towards automation and continuous


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