Data Analyst - Ocean Grove, United States - Companalyst

    Companalyst
    Companalyst Ocean Grove, United States

    2 weeks ago

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    Description


    Steel Point is responsible for understanding and analyzing the broadband development investment costs and associated technology options that would be required to close the digital divide across the U.S.

    We are responsible for policy and risk analyses, and identification of and development focused Technical Assistance support to prospective grant applicants in their grant funding planning and strategy efforts to ensure alignment with the Presidents goals to promote universal broadband access and adoption


    The data analyst will be responsible for maintaining an efficient and effective product creation data model and driving impactful analytics.

    This person will become an expert on the multiple data sets and the related analytics to support those data sets to provide input to the analysis used to quantify and inform where unserved and underserved locations are located across the U.S.

    The role will provide base in class dashboards aimed at driving successful execution against the Presidents goals of promoting universal broadband access and adoption.


    Bachelor's Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field with a focus on analytics with working knowledge of modeling (regression, machine learning, feature selection, dimension reduction, validation), data (extracting, preparing, munging, validating), and building analytics pipelines.

    3-5 years' experience with information systems, data, BI/Data Visualization, reporting, analytics, and coding.

    Must possess knowledge of business process, data or information management, and data quality standards and processes

    Excellent team player able to work independently and with cross functional teams

    Creative problem-solving skills with the ability to juggle multiple project tasks

    Experience with analytics tools and programming languages such as SAS, R, Python, Alteryx, SQL, working independently with minimal supervision as well as collaborating effectively as part of a team

    Requires power user skills in MS Office products (Excel, PowerPoint, Project, Access)

    Solid understanding of data analysis and data modeling

    Experience working with one or more of the following: machine learning, analytics, neo4j, Neptune, RDF, gremlin, graph

    Travel to client sites as needed to support meetings

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