Data Analytics Intern

Job Description

Data Analytics Intern | Bank OZK

The Tone:
This is a Data Analytics Internship at Bank OZK, located at a Bank OZK facility (location not specified). Bank OZK is a nationally recognized leader in financial services, built on over 120 years of banking legacy. The company combines exceptional service with innovative technologies to deliver smart solutions to clients, investing in businesses, and shaping communities across America. In this role, you will assist the Enterprise Analytics organization in supporting critical enterprise-wide data initiatives, contributing to the bank’s core operations and fostering a great career foundation.

The TL;DR
• Role: Internship
• Location: Not specified in listing.

• Team: Enterprise Analytics organization
• Mission: To assist the bank’s Enterprise Analytics organization in supporting enterprise-wide data initiatives.
• Tech Stack: SQL, R or Python, Power BI or Tableau, Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook)

What You’ll Actually Do
• Analytics & Reporting: Provide internal stakeholders with analytics, reporting, and insights using internal/external data and analytics tools.
• Problem Solving: Develop solutions to business problems using critical thinking and creativity.
• Data Management: Extract and transform data using SQL, identify data inconsistencies, and resolve data quality issues.
• Process Improvement: Assist in documenting procedures and running user acceptance testing of the Bank’s procedures.
• Stakeholder Collaboration: Participate in, and may lead, meetings with stakeholders to convey purpose, outline expectations, and collaborate on program development.

The Must-Haves
• Background: Current and ongoing enrollment in a Bachelor’s degree program concentrating in finance, accounting, economics, business, statistics, data science, or a related discipline. Early Career.
• Experience: Completion of junior level coursework at the time of application. Coursework in data analysis, business intelligence, or data management required.
• Skills: Skill in computer and software including SQL, R or Python, Power BI or Tableau, and Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook); basic knowledge of quantitative modeling principles and data quality standards; ability to communicate effectively both verbally and in writing to a broad level of audiences; ability to multitask and produce high-quality reports, presentations, and analysis; ability to utilize discretion and sound judgment in decision-making.
• Bonus: Completion of some senior level or graduate level coursework at the onset of the program. Current enrollment in a graduate program preferred. Experience in banking, finance, accounting, or real estate preferred.