Regions Financial Corporation is a member of the S&P 500 Index and is one of the nation’s largest full-service providers of consumer and commercial banking, wealth management, and mortgage products and services. Regions serves customers across the South, Midwest and Texas, and through its subsidiary, Regions Bank, operates more than 1,250 banking offices and more than 2,000 ATMs.

Job Description:

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 senior analysts and managers to gather and interpret data for leaders to make data-driven decisions.

Primary 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

Requirements:

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

Preferences:

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)

Skills and Competencies:

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

Preferred Skills:

Strong experience in data analysis and interpretation, including KPIs, metrics, and business performance indicators.

Experience designing dimensional data models (Star and Snowflake schemas) with well-structured fact and dimension tables optimized for efficient reporting.

Experience using data visualization tools such as Power BI or Tableau for reporting, visualization, and design.

Previous experience building and maintaining data pipelines, including data transformation and cleansing.

Understanding of source systems, data lineage, and data refresh schedules.

Experience working with Python, Spark, and Snowflake.

Advanced SQL and data querying skills.

Ability to deploy code to production using Git and CI/CD tools.