Note: The job is a remote job and is open to candidates in USA. Regions Bank is dedicated to providing opportunities for performance-driven individuals. The Fraud Data and Analytics Analyst will transform data into meaningful formats for decision-making, assisting in data analysis and reporting to support operational needs.
Responsibilities
- Modifies reports that are valuable, readable, and presentable to stakeholders
- Assists in the preparation of visual reports/presentations to present analysis to management
- Interprets, analyzes, and provides insights to teams and managers to determine operational impact, trends, and opportunities
- Performs data analysis to help achieve data automation
- Creates and maintains databases to help classify & store information
- Completes day-to-day deliverables and ad-hoc data reports to support business needs/projects and answer data related questions
- Ensures compliance by performing quality data audits, mining, and management
- Monitors data and analytics trends and seeks opportunities for continuous improvement
- May offer guidance to junior analysts, ensuring proper training and tools are provided
- Partners with the centralized Data Governance team to implement and support data governance and data quality requirements
Skills
- Master's degree in Business, Computer Science, Information Systems, Finance, Statistics, 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, or related field and four (4) years of experience in a data analytics or related role
- Experience utilizing analytical software such as Structured Query Language (SQL), Statistical Analysis System (SAS), SAS Enterprise Miner, and applicable Microsoft Office applications
- Working knowledge of business intelligence software (e.g. Tableau, Power BI)
- Previous experience in data analytics within the banking or financial services industry
- Fraud‑prevention experience, such as evaluating transactional anomalies, customer‑behavior insights and fraud trends
- Strong experience in data analysis and interpretation, including key performance indicators (KPIs), metrics, and business performance indicators
- Demonstrated experience designing dimensional data models (Star and Snowflake schemas) with well-structured fact and dimension tables optimized for reporting
- Proficiency in data visualization tools such as Power BI or Tableau, including report development and dashboard design
- Experience building and maintaining data pipelines, including data transformation and data cleansing processes
- Solid understanding of source systems, data lineage, and data refresh schedules
- Hands-on experience with Python, Spark, and Snowflake
- Advanced SQL and data querying skills
- Ability to deploy code to production using Git and CI/CD tools
Benefits
- 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
Company Overview