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    Data Analyst II - Alpharetta, United States - LexisNexis Risk Solutions

    LexisNexis Risk Solutions
    LexisNexis Risk Solutions Alpharetta, United States

    1 week ago

    Default job background
    Technology / Internet
    Description

    Data Analyst II

    Must be able to work in Alpharetta Georgia 2+ days per week.

    About the Business

    LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at the link below,

    About our Team

    This 7 person team drives Data Solutions across multiple lines of business. We use an advanced Tech stack to drive progress.

    About the Role

    This position performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line.

    Responsibilities

    • Owning specific set or group of data transfers in various capacities including collection setup, data transfer setup, contributor/customer setup. Overseeing specific database management ensuring structure and dataflow adheres to department standards.
    • Performing daily data loads ensuring recurring updates are logged and tracked. Utilizing various data workflow management and analysis tools.
    • Producing code that is efficient, repeatable, and adherent to best practices such as naming conventions, encapsulation. Participating in process improvement and compliance to successfully and consistently deliver high quality services on time, and to specification.
    • Writing and reviewing portions of detailed specifications for the development of data components of moderate complexity. Complete simple data engineering bug fixes and resolve technical issues as necessary.
    • Working closely with other engineering team members to understand data and translate requirements. Operating in various development environments
    • (Agile, Waterfall, etc.) while collaborating with key stakeholders.

    Requirements

    • Have the ability to work with simple and complex data
    • models. Be Proficiency in development languages including but not limited to:
    • Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Unix, .Net., HPCC.
    • Demonstrate knowledge of data manipulation languages.
    • Currently using Pyspark/Spark
    • Experience with file management skills and logic. Familiarity of Industry best practices - Code coverage.
    • Have extensive knowledge of software development methodologies (e.g., Agile, Waterfall).
    • Possess extensive Data Driven problem solving skills. Able to use those skills to drove solutions.

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