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    Data Analyst - McLean, United States - American Unit, Inc

    American Unit, Inc
    American Unit, Inc McLean, United States

    1 week ago

    Default job background
    Description

    Job-title: Senior Data Analyst

    Location: McLean, VA/Hybrid

    Duration: 6 months and possible extension

    Description:

    Must Haves:

    • Must have a minimum of three years of hands-on programming experience using Python & SQL - Preference for SAS.
    • Must have hands-on experience working with large data sets and relational databases.
    • Mortgage or fintech industry would be a plus, but it's not mandatory.

    Role Description

    • Contribute to gathering business requirements to be implemented in the Mercury Plus Forecasting Engine
    • Participate in the data preparation, code development, and reporting to support baseline and ad hoc analytics
    • Provide timely, relevant, robust analyses to support business decisions
    • Contribute to automation of processes related to implementation of various methods and models in the Forecasting Engine
    • Collaborate with team members and interact across organizational lines to meet business objectives
    • Follow appropriate controls and standards established to maintain and create documentation for processes & reports
    • Analyze / explain results, review trending and perform sensitivity analysis

    Qualification

    • Degree in quantitative finance, statistics, mathematics, economics, data analytics or a related quantitative field preferred, with 3-5 years of relevant work experience
    • Work experience and proficiency in programming and/or data mining languages such as SQL, Python, SAS or R
    • Experience working with large data sets and relational databases
    • Strong quantitative, analytical, and problem-solving skills
    • Strong presentation skills
    • Mortgage industry experience preferred but not required

    Additional Notes:

    • 3 years' experience in Python, SQL
    • SAS or R Preferred
    • ETL Preferred
    • Fintech preferred
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