Data Insights Analyst: Drive Data-Driven Decisions

Regions Financial Corporation; Birmingham (AL); On-site; USD 54,000 - 65,000; Full time

Benefits offered by this job

Paid Vacation/Sick Time

401K Match

Medical, Dental and Vision Benefits

Disability Benefits

Health Savings Account

Flexible Spending Account

Life Insurance

Parental Leave

EAP

Volunteer Program

Job summary

Regions is seeking a Data and Analytics Analyst to turn data into actionable information for operational and decision-making needs in Birmingham, AL. You will gather insights with senior analysts and deliver readable reports to leaders.

The role focuses on day-to-day deliverables, data interpretation, and supporting data automation initiatives, with emphasis on accuracy and stakeholder value.

Qualifications

• Master's degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field.
• Bachelor’s degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field plus two years of data analytics experience.

Responsibilities

• Assists in preparing reports valuable to stakeholders.
• Prepares visual reports/presentations for management.
• Interprets and analyzes data to identify trends and opportunities.
• Performs data analysis to support data automation.
• Creates and maintains databases for information storage.
• Completes day-to-day deliverables and ad-hoc data reports.
• Conducts data audits to ensure quality and compliance.
• Monitors data analytics trends for continuous improvement.
• Partners with Data Governance to support data quality.

Skills

Leadership

MS Office

Communication

Data analysis

Education

Master's degree

Bachelor's degree + 2 years

Tools

SQL

SAS

SAS Enterprise Miner

Tableau

Power BI

Job description

Regions is seeking a Data and Analytics Analyst to turn data into actionable information for operational and decision-making needs in Birmingham, AL. You will gather insights with senior analysts and deliver readable reports to leaders.

The role focuses on day-to-day deliverables, data interpretation, and supporting data automation initiatives, with emphasis on accuracy and stakeholder value.