Analyst, Customer Intelligence & Operations (Fraud Data Strategy)

• Gather, review, and analyze unit results and needs, to generate insights, reports and data visualization metrics.
• Identify, analyze, and interpret trends or patterns in complex data sets
• Conduct research for new threats and identify potential trends and patterns using analyzed data to create and optimize data sets and reports that support the team's fraud prevention efforts.
• Creates weekly and monthly unit's dashboards, managing and consolidating information for use in management decision making.
• Gather, review, and analyze the unit's results and needs, to identify business problems and implement solutions.
• Serves as a liaison among partner units in order to analyze, validate, and communicate data and improvement needs.
• Locate and define new potential process improvement opportunities as a result of data insights.
• Support internal stakeholders in a timely and attentive manner by communicating concerns and future needs.
• Other duties may be assigned.

MINIMUM REQUIREMENTS:

• Bachelor’s degree in business administration, accounting, finance, economics statistics, math, computer science, or any other business-related degree.
• Two (2) years of related experience in data analysis, reporting, metrics, dashboarding required. Financial industry, fraud or security experience preferred. 
• Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge, skills and abilities.
• Technical expertise regarding data models, data mining & data visualization techniques required.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent verbal and written communication skills to conduct interactions with business leaders, write technical reports, and communicate effectively at all levels of the organization.
• Ability to work independently and use discretion, exercise good judgment & resourcefulness.
• Maintains and promotes a high standard of confidentiality and strong ethical values.
• Excellent verbal and written communications communication skills in English and Spanish. 
• Proficient in the use of MS Office as well as advanced Excel proficiency to retrieve data, create spreadsheets, and reports required.
• Advanced proficiency in Power BI as a data management & visualization tool required. Data Analysis Expressions (DAX) proficiency for creating complex calculations, measures, and queries within Power BI is also required.
• Adept in integrating AI and machine learning models within Power BI or similar platforms to enhance data analysis and provide predictive and forward-thinking insights.