• Data Engineer - Warren, MI

    Posted: 08/01/2022


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    Description
    Remote - This position does not require employee to be on-site full-time to perform most effectively. The Employees role enables them to work off-site on a permanent basics. In the USA this is an employee who lives more than 100 miles from their designed, Primary worksite

    The Advanced Analytics COE (Center of Expertise) team in the Chief Data Analytics Office is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The individual will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups.  The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.

    As a Data Engineer, you will build analytical data sets in support of Applied Advanced Analytics projects. You will work closely with our forward-thinking Researchers and Data Scientists to deliver value to our vision for the future. Are you ready to join a future facing team?

    RESPONSIBILITIES:

    • Create highly consistent and accurate analytic datasets suitable for data scientist team members
    • Evaluate business needs and identify and source data into analytical data sets needed to support advanced analytics models that will deliver actionable insights
    • Understand and profile data to assess usefulness to meet business objectives
    • Combine data from different sources and transform data as needed
    • Communicates and maintains metadata, logical models, and data dictionaries for analytical data assets
    • Act as SME on analytical data sets, with ability to answer data scientist questions or find related information to support analytical modeling
    • You will assemble large, complex data sets that meet business requirements
    • You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing processes for greater scalability, etc.
    • Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs
    • AMD MORE...

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Asian Pacific American Chamber of Commerce (APACC)

 PO Box 54, Clawson, MI 48017

 248. 430.5855

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