Note: The job is a remote job and is open to candidates in USA. Regions Bank is a financial services company that provides banking products and services. The Fraud Data and Analytics Analyst transforms data into meaningful insights, develops reports and databases, supports automation and data governance, and helps identify fraud trends and operational opportunities. The role also provides analytical support to leaders and may guide junior analysts.
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
- Demonstrated leadership capabilities
- Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook, etc.)
- Strong verbal, written communication, and organizational skills
- Strong work ethic and self-motivation
- 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)
- Advanced Python skills
- Advanced SQL and data querying skills
- Strong communication skills
- 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
- Proficiency in data visualization tools such as Power BI or Tableau, including report development and dashboard design
Benefits
- This position is currently remote but may be asked to come onsite or sit onsite in the future.
- 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
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