Data Analyst - Enterprise Fraud Strategy Analytics
By PNC At Birmingham, AL, United States
Manages data definitions and data traceability within data repository to improve documentation and coordination.
Provides support to the business and other internal IT organizations regarding data definition standards, architectures, and policies.
Provides support to business users for mining and interpretation of warehoused and operational data.
Plans and performs activities regarding designed data models for systems development.
Resolves metadata and data sourcing problems. Maintains metadata and data dictionaries.

Do you have a passion for uncovering fraud and protecting businesses from financial loss? We are looking for a Fraud Analytics Analyst II to join our team and help us identify and prevent fraudulent activity. You will be responsible for developing and implementing fraud analytics strategies, analyzing data to identify patterns of fraud, and working with stakeholders to develop solutions to mitigate fraud. If you have a knack for data analysis and a desire to make a difference, this is the job for you!

What is Fraud Analytics Analyst II Job Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of data mining, predictive modeling, and statistical analysis
• Ability to interpret and analyze large datasets
• Proficiency in SQL, SAS, and/or other programming languages
• Excellent communication and presentation skills
• Ability to work independently and collaboratively

What is Fraud Analytics Analyst II Job Qualifications?

• Bachelor’s degree in a quantitative field such as mathematics, statistics, economics, or computer science
• At least 3 years of experience in fraud analytics or related field
• Knowledge of fraud detection techniques and technologies
• Experience with data visualization tools such as Tableau or Power BI

What is Fraud Analytics Analyst II Job Knowledge?

• Knowledge of fraud detection techniques and technologies
• Understanding of data mining, predictive modeling, and statistical analysis
• Familiarity with SQL, SAS, and/or other programming languages
• Understanding of data visualization tools such as Tableau or Power BI

What is Fraud Analytics Analyst II Job Experience?

• At least 3 years of experience in fraud analytics or related field
• Experience with data mining, predictive modeling, and statistical analysis
• Experience with SQL, SAS, and/or other programming