As a Data Intelligence Analyst, the successful candidate will be a senior 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 organizational data intelligence initiatives by developing and maintaining consultative relationships with key business stakeholders.
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.
Education & Experience: Bachelor’s degree, or master's degree preferred, in computer science, statistics, analytics, information systems or related discipline; 6 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 proficiency in MS Excel, specifically formulas including VLookups, data analysis techniques, charts, and pivot tables; advanced proficiency in business intelligence software such as Tableau; intermediate proficiency with relational databases and data structures; intermediate proficiency with analytics software such as R, Python, SAS, or WEKA.
Travel: Ability to travel domestically by airplane, car, or train; approximate amount of travel will be 25% of time, and will require overnight stay.