Data and Analytics Analyst

Regions Bank•Birmingham, AL

1d•Remote

About The Position

At Regions, the Data and Analytics Analyst transforms data into a meaningful format for operational and/or decision-making purposes. Focusing on day-to-day deliverables, this role works with managers to gather and interpret data for leaders to make data-driven decisions.

Requirements

Master's degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field and six (6) 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 eight (8) years of experience in a data analytics or related role
Two (2) years of proven experience utilizing analytical software such as Structured Query Language (SQL), Statistical Analysis System (SAS), SAS Enterprise Miner, and applicable Microsoft Office applications
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

Nice To Haves

Working knowledge of business intelligence software (e.g. Tableau, Power BI)
Experience in Machine Learning, Deep Learning, or Artificial Intelligence
Programming experience in Machine Learning, Deep Learning, or Artificial Intelligence
Programming experience in Python, Ruby, R, MATLAB, Scala, or Java
Experience in Big Data Technology in Hadoop, Hive, Impala, SPark, or Kafka
Previous experience with Data Analytics in banking, with emphasis on deposit‑account behaviors and risk monitoring
Experience working with deposit‑fraud patterns and anomalous deposit activity
Fraud‑prevention experience, particularly in evaluating deposit‑risk signals, transactional anomalies, and customer‑behavior insights
SQL and/or Python experience for building deposit‑fraud detection logic, investigative dashboards, and automated monitoring routines
Experience with BI tools such as Power BI, Tableau, or Qlik for visualizing deposit‑fraud trends, loss patterns, and operational KPIs
Experience with Snowflake or similar cloud‑data environments for analyzing large‑scale deposit‑transaction datasets and historical fraud activity

Responsibilities

Creates reports that are valuable, readable, and presentable to stakeholders
Prepares 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
Offers 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