Data and Analytics Analyst - On-Site

Thank you for your interest in a career  Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.

Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law.

Such information will be stored in accordance with regulatory requirements and in conjunction with Regions’ Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system.

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.

• 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

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

• 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)

• 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

• 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…