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    Financial Data Analyst - Scottsdale, United States - GTN Technical Staffing

    GTN Technical Staffing
    GTN Technical Staffing Scottsdale, United States

    2 weeks ago

    Default job background
    Description
    Financial Data Analyst


    DETAILS

    Location:
    Scottsdale, AZ

    Work Schedule :
    Hybrid - 2/3 in-office/remote

    Position Type :
    Direct-Hire


    Salary :
    $70,000 - $80,000


    Residency Requirements:
    Candidates authorized to work in the US are encouraged to apply. No sponsorship is being offered at this time.

    We are looking for a data analyst to join our team in Scottsdale, Arizona. The ideal candidate would have at least 3 years' experience in Finance, Analytics, Actuarial, or a related field.

    We offer competitive benefits, a hybrid work environment, and an agile and dynamic team to help you learn and grow.

    The candidate we're looking for is self-motivated, capable of working cross-discipline, and excited to develop both their technical skill set and analysis acumen.

    If you are a self-motivated individual with a passion for data analysis, we encourage you to apply for this position.


    Responsibilities:
    Analyze and interpret complex data sets to identify trends, patterns, and insights that drive business decisions.
    Create and maintain reports and dashboards that effectively communicate complex data in a clear and concise manner to stakeholders.
    Work closely with cross-functional teams including Operations, Accounting, Data Infrastructure, and Actuarial.
    Present findings and insights in a clear and concise manner to both technical and non-technical stakeholders
    Identify opportunities for process improvements and automation to increase efficiency and accuracy.
    Stay current with industry trends and emerging technologies and apply that knowledge to improve processes and analysis techniques.


    Qualifications:
    At least 3 years of experience in a data analysis role
    Bachelor's degree in Finance, Accounting, Data Science, or a related field.
    Strong analytical skills, with experience using statistical modeling and data analysis software (such as SAS, R, or Python)
    Proficiency in SQL and experience with data visualization tools (such as Tableau, Power BI, or QlikView)

    Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner.

    Self-motivated with the ability to work independently and as part of a team.
    Strong attention to detail and the ability to manage multiple projects simultaneously.
    Experience in the insurance industry is a plus, but not required.

    #J-18808-Ljbffr
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