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Bank OZK

Analyst, Data Operations

Dallas, TX, United States
Little Rock, AR, United States

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Job details

Apply by: Nov 4, 2027
Education: Bachelor’s degree
Posting language: English
Posted: Nov 4, 2026

Original job description

Why Bank OZK

Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We’re nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We’re investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers.

The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits.

Job Purpose & Scope

Supports the development, maintenance, monitoring, and documentation of data pipelines using standard enterprise toolsets under the guidance of more experienced team members. Assists with data observability, basic governance activities, and operational support to help ensure reliable data flow and visibility across the organization.

Essential Job Functions

Works with data engineering teams and business stakeholders to learn data process dependencies, support internal and external data operations, and assist with service level agreement (SLA) monitoring, notifications, data classification, and data quality activities.
Assists with the orchestration and monitoring of data pipelines across approved tools and environments using established scheduling practices.
Supports integrations that enable data lineage, observability, classification, and quality metrics in enterprise data tools.
Assists with setting up pipeline monitoring, notifications, restart procedures, and execution settings according to team standards and direction.
Monitors data ingestion, transformation, extracts, integrations, dashboards, and reports for reliability; escalates or assists in troubleshooting data pipeline issues as appropriate.
Reviews performance, storage, and cost trends and raises potential issues or improvement opportunities to more experienced team members.
Assists with automating repeatable processes and maintaining visibility into data lineage through approved tools and documented procedures.
May include alternate schedules to cover critical processing periods.
Partners with data engineers to support enhancements to data architecture and integration solutions.
Supports compliance and governance activities related to data security, privacy, and approved data handling practices.
Assists in identifying data anomalies, inconsistencies, and integrity issues and follows established procedures for documentation, escalation, and resolution.
Documents processes, workflows, and best practices for data operations.
Exercises sound judgment and seek guidance when needed in the performance of the other essential job functions.

Knowledge, Skills & Abilities

Basic knowledge of cloud-based data platforms (Azure, AWS or GCP) and data warehouses (Snowflake, Redshift, Big Query, etc.).
Familiarity with tools such as DBT, Power BI, Docker, or similar data and reporting technologies.
Ability to demonstrate analytical and problem-solving skills with an interest in automation, root cause analysis, and data integrity.
Ability to communicate effectively both verbally and in writing.
Ability to work effectively with team members, management, and internal stakeholders.
Ability to work effectively and efficiently both as part of a team and independently, while demonstrating effective interpersonal skills.
Ability to demonstrate curiosity, accountability, and a willingness to learn enterprise data operations practices.
Ability to apply critical thinking and analytical skills to defined problems with appropriate guidance.
Ability to organize work, manage assigned tasks, and meet deadlines while adapting to changing priorities.
Ability to demonstrate initiative and be proactive in accomplishing work tasks and objectives.
Working knowledge of Python and exposure to scripting languages such as Windows PowerShell or Linux Bash Shell scripting.
Working knowledge of SQL and relational databases (SQL Server, PostgreSQL, MySQL, etc.).

Basic Qualifications

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field, or commensurate work experience, required.
1+ year of experience in data operations, data engineering, quality assurance, analytics, information technology, or a similar role, preferred.
1+ year of Python development or scripting experience, preferred.
1+ year of SQL experience, preferred.

Job Expectations

Operate customary equipment and technology used in a business environment, with or without accommodation.

Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required. Other job functions, duties, skills, and standards may be added. Management reserves the right to add or change the job requirements at any time.

EEO Statement

Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.

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More about this job

Skills

Documentation
Data engineering
Scheduling
Troubleshooting
Microsoft Azure
AWS
Google Cloud
Snowflake
Amazon Redshift
BigQuery
Microsoft Power BI
Docker
Reporting
Problem solving
Root cause analysis
Interpersonal skills
Demonstrate curiosity
Work in an organised manner
Meet deadlines
Python
Microsoft Windows PowerShell
Linux
Bash
SQL
Microsoft SQL Server
PostgreSQL
MySQL
Computer science
Quality assurance
Computer technology

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