Fraud Data Analyst at Huntington National Bank in Columbus, OH
Fraud Data Analyst The Fraud Reporting Analyst supports key fraud stakeholders through the development and maintenance of informative, actionable reporting. The Analyst will utilize their knowledge of the fraud business segments and its data to build a robust fraud reporting suite. Responsibilities include:
Manage recurring fraud risk reporting that supports effective, independent fraud monitoring insights. Provides support for business processes and systems, which will entail, but not limited to strategic planning and execution, data mining and developing and running queries in support of process optimization, solving and testing for various solutions. Understand and execute on the tuning process. Perform root cause analysis, data mining and quantitative analysis. Evaluate the potential impact of financial decisions and regulatory issues and making recommendations to management for planning and decision-making purposes. Perform Business Intelligence and Visual Analytics. Develop tactical and other management and operational reporting requirements and interim solutions. Develop and automate reporting, dashboarding, performing statistical analysis and other quantitative metrics. Track and report operational statistics, analyzing results and forecasting future trends. Identify areas of improvement and working with the business stakeholders to uncover suitable solutions. Measure and analyze data to determine primary drivers, improve the process and implement sustainable controls. Analyze current systems and processes to identify potential improvements or enhancements. Lead assigned projects and/or providing support to other team members on business processes and/or systems that are typically more complex and of a larger impact to the company. Work with fraud management and analysts to create business requirements for user interfaces to the data. Maintain an in-depth knowledge of business processes and applications and staying current in technical enhancements, methodologies and trends related to the assigned applications(s). Forms and supports recommendations to business partners to optimize process/system(s). Basic
Qualifications:
Bachelor's degree Minimum of 5 years of experience in fraud, data analytics, or business intelligence reporting.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
Manage recurring fraud risk reporting that supports effective, independent fraud monitoring insights. Provides support for business processes and systems, which will entail, but not limited to strategic planning and execution, data mining and developing and running queries in support of process optimization, solving and testing for various solutions. Understand and execute on the tuning process. Perform root cause analysis, data mining and quantitative analysis. Evaluate the potential impact of financial decisions and regulatory issues and making recommendations to management for planning and decision-making purposes. Perform Business Intelligence and Visual Analytics. Develop tactical and other management and operational reporting requirements and interim solutions. Develop and automate reporting, dashboarding, performing statistical analysis and other quantitative metrics. Track and report operational statistics, analyzing results and forecasting future trends. Identify areas of improvement and working with the business stakeholders to uncover suitable solutions. Measure and analyze data to determine primary drivers, improve the process and implement sustainable controls. Analyze current systems and processes to identify potential improvements or enhancements. Lead assigned projects and/or providing support to other team members on business processes and/or systems that are typically more complex and of a larger impact to the company. Work with fraud management and analysts to create business requirements for user interfaces to the data. Maintain an in-depth knowledge of business processes and applications and staying current in technical enhancements, methodologies and trends related to the assigned applications(s). Forms and supports recommendations to business partners to optimize process/system(s). Basic
Qualifications:
Bachelor's degree Minimum of 5 years of experience in fraud, data analytics, or business intelligence reporting.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
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