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Fraud Data and Analytics Analyst
Regions Bank. Transform data into meaningful formats for operational and decision-making purposes, specializing in fraud-based threats .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and fraud detection, utilizing advanced analytical skills and programming languages such as SQL and Python. Proficient in developing visual reports and dashboards to support decision-making and operational efficiency in the banking industry.
Highest-signal resume keywords
Data AnalysisFraud DetectionSQL ProgrammingBusiness Intelligence SoftwareMachine Learning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSQL ProgrammingPythonStatistical Analysis System (SAS)Machine LearningData VisualizationData ManagementData AutomationData MiningDimensional Modeling
Soft Skills
Strong Verbal CommunicationStrong Written CommunicationOrganizational SkillsLeadership CapabilitiesSelf-Motivation
Tools & Technologies
TableauPower BISnowflakeHadoopSparkGitHarness Pipelines
Industry Keywords
Banking IndustryFraud ProcessesOperational EfficiencyData GovernanceKPI Understanding
Tech Stack
Tools & technologiesHadoopJavaKafkaPythonRubyScalaSnowflakeSparkSQLTableau
About the role
Key responsibilities & impact- Transform data into meaningful formats for operational and decision-making purposes, specializing in fraud-based threats
- Analyze fraud-based threats impacting the bank by gathering and analyzing data
- Provide analytical reports, determine how fraud was conducted, quantify losses, and recommend actions to mitigate losses
- Identify fraud savings opportunities through net loss or operational efficiency/effectiveness
- Assess current rule strategies and recommend enhancements
- Develop and execute transaction and system monitoring for unusual or suspicious merchants and redemption activities
- Assist in preparing visual reports and presentations for management
- Modify reports to make them valuable, readable, and presentable to stakeholders
- Interpret and analyze data to provide insights on operational impact, trends, and opportunities
- Perform data analysis to support data automation
- Create and maintain databases to classify and store information
- Complete day-to-day deliverables and ad-hoc data reports for business needs and data-related questions
- Perform quality data audits, data mining, and data management for compliance
- Monitor data and analytics trends and identify continuous improvement opportunities
- Partner with centralized Data Governance to implement and support data governance and data quality requirements
- Stay current on fraud trends and best practices to optimize controls detecting fraudulent activity
- May guide junior analysts and ensure proper training and tools are provided
Requirements
What you’ll need- Master's degree in Business, Computer Science, Information Systems, Finance, Statistics, Criminal Justice, Mathematics, Engineering, or related field and two (2) years of experience in a data analytics or related role
- Or, a Bachelor’s degree in Business, Computer Science, Information Systems, Finance, Statistics, Criminal Justice, Mathematics, Engineering, or related field and four (4) years of experience in a data analytics or related role
- Experience utilizing analytical software and programming such as Structured Query Language (SQL), Statistical Analysis System (SAS), Python, Ruby, R, MATLAB, Scala, or Java
- Working knowledge of business intelligence software (e.g. Tableau, Power BI)
- Experience in Big Data Technologies like Snowflake, Hadoop, Hive, Impala, Spark, or Kafka
- Experience in Machine Learning, Deep Learning, or Artificial Intelligence
- Advanced analytical skills
- Demonstrated leadership capabilities
- General knowledge of the banking industry
- General knowledge of fraud processes
- Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook, etc.)
- Strong verbal, written communication, and organizational skills
- Strong work ethic and self-motivation
- Ability to analyze large, complex datasets to identify trends, patterns, and anomalies
- Strong understanding of KPIs, metrics, and business performance indicators
- Advanced SQL for data extraction, transformation, and validation
- Experience with complex joins, CTEs, and performance optimization
- Designing interactive dashboards and reports using tools like Power BI, or Tableau
- Applying best practices in data storytelling, visualization design, and user-centered reporting
- Experience working with data pipelines, transformations, and data cleansing
- Understanding of source systems, data lineage, and refresh schedules
- Experience with Python, Spark, and Snowflake systems
- Ability to deploy code to production using Git + Harness Pipelines
- Knowledge of dimensional modeling (star/snowflake schemas)
- Ability to structure fact and dimension tables for efficient reporting
- Must be currently authorized to work in the United States on a full-time basis
- Position must be within a reasonable driving distance to Birmingham, AL, Atlanta, GA or Charlotte, NC
Benefits
Comp & perks- Paid Vacation/Sick Time
- 401K with Company Match
- Medical, Dental and Vision Benefits
- Disability Benefits
- Health Savings Account
- Flexible Spending Account
- Life Insurance
- Parental Leave
- Employee Assistance Program
- Associate Volunteer Program