American Arbitration Association

  • Data Intelligence Analyst

    Job Location(s) US-NJ-Voorhees | US-TX-Dallas | US-RI-Johnston
    Job ID
    Information Technology
  • Overview

    As a Data Intelligence Analyst, the successful candidate will be a key member of the Statistic and In-House Research team. Reporting to the Vice President, the Data Intelligence Analyst will be primarily responsible for guiding and driving the American Arbitration Association’s (AAA) organizational data intelligence initiatives. The Analyst performs detailed statistical analysis by querying data repositories to produce business intelligence; generates reports on case and survey data providing actionable insights; devises methods for identifying data patterns and trends in available information sources; and supports the quality of data initiatives by leading the data training, assessments and audit plans.


    The Statistics and In-House Research team is located in Voorhees, New Jersey.  The Data Intelligence Analyst may work in the AAA's Voorhees Case Filing Services location, or the Central Case Management Center in Dallas, Texas, or the Northeast Case Management Center in Johnston, Rhode Island. 


    We offer a competitive salary and the opportunity to have a rewarding career in a fast-paced, results-driven environment. Our comprehensive benefits program includes the following: health and Rx, dental and orthodontia, vision, discounted pet insurance, disability insurance, basic and supplemental life insurance, 403(b) and Roth 403(b) retirement plans w/company match, a discounted corporate FitBit program, and generous paid time-off benefits.


    • Analyzes and synthesizes current case and survey data, and uses business intelligence or trend data to support recommendations for action.
    • Monitors and assesses quality of data to ensure accuracy and integrity of data used in reporting and statistical analyses.
    • Applies analytical approaches to prepare comprehensive and accurate reports identifying trends, opportunities and organizational risks.
    • Serves as a subject matter expert and mentor around data analysis; develops and conducts training to educate staff on business intelligence initiatives.
    • Provides training, coaching and guides employees on effective utilization of dashboards, including employees involved in data collection and research, and data audits.
    • Develops and executes data quality audit and data assessment plan; updates the program as the organizational structure and business strategies, opportunities and risks, of the AAA evolve.
    • Assists the vice president in ad-hoc ADR research projects; and produces recommendations and insights for key partners that will help shape business decisions.
    • Maintains the online data dictionary; conducts annual review of the dictionary to ensure it is in sync with trainings and assessments.
    • Collaborates with staff in a continuous effort to promote and provide data quality standards and practices throughout the Association, and leverages skills of colleagues to achieve organizational objectives.
    • Assists management in making updates to data collection policies and standard operating procedure manuals.
    • Supports the CEO and senior management with time-critical and ad-hoc data analysis, audit projects, and business processes review.


    Education & Experience: Bachelor’s degree in business management, statistics, analytics, information systems or related discipline; 3 years of related work experience; or an equivalent combination of education and experience.

    Language Skills: Ability to read and interpret documents such as legal files, business correspondence and procedure manuals; ability to write routine reports and business correspondence; ability to speak effectively, both in person and by telephone, to AAA employees and external customers and constituents.

    Mathematical Skills: Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions and decimals; ability to compute rate, ratio, and percent and to draw and interpret bar graphs; ability to understand and interpret statistical reports, financial/fee schedules, data charts and graphs.

    Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists; ability to interpret a variety of instructions furnished in written, oral, diagram or schedule form.

    Technology Skills: Intermediate proficiency with Microsoft Outlook, PowerPoint and Word; advanced knowledge of MS Excel, specifically formulas including VLookups, data analysis techniques, charts, and pivot tables; experience using intelligence software such as Tableau; working knowledge of relational databases and data structures; familiarity with analytics software such as R, Python, SAS, or WEKA.

    Travel: Up to 20% of time as necessary


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