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Fraud Operations Analyst (C12) - SAS Skills Required

Locations: Irving, Texas, Wilmington, Delaware, Jacksonville, Florida, Florence, Kentucky Job Function: Security Employee Status: Regular Job ID: 20207952

Fraud Operations Analyst

Grade: C12

The Fraud Operations Analyst will contribute to the development of new techniques and the improvement of processes and work-flow for Fraud Operations. The Analyst will identify problems and work directly with Fraud Operations to solve and implement solutions. The candidate will apply analytical thinking and knowledge of data analysis tools and methodologies. Other responsibilities include:

  • Requires attention to detail when making judgments and recommendations based on the analysis of factual information.
  • Provides in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions. Influences strategic functional decisions through advice, counsel or provided services that have direct impact on the business. Persuades and influences others through developed communication and diplomacy skills with colleagues in other areas and occasional external customers
  • Designs/analyzes complex reports to satisfy management requirements.
  • Possesses a comprehensive understanding of how own area and others collectively integrate to contribute towards achieving business objectives.
  • Acts as advisor or coach to new or lower level personnel in the business processes and procedures of area supported.
  • Working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
  • Identifies and compiles data sets using a variety of tools (e.g. SQL, SAS, Python, HUE, Hadoop) to help predict, improve, and measure the success of key business to business outcomes
  • Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
  • Candidates for this role may often be referred to as Data Scientists

Qualifications:

  • 3-5 years relevant experience
  • Have the ability to retrieve and manipulation data
  • Possess analytic ability and problem solving skills
  • Work experience with SAS, Python, HUE, Hadoop
  • Willing to learn and can-do attitude
  • Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
  • Ability to build partnerships with cross-function leaders

Education:

  • Bachelors/University degree or equivalent experience, preferably in Statistics/Quantitative Analytics

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Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - US

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Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

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