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# Analyst, Data Operations

- **Company:** Bank OZK
- **Location:** Little Rock, AR, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Bash Shell, BigQuery, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Integrity, Data Security, Data Warehousing, Relational Databases, Linux, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Windows PowerShell, Power BI, Standard Sql, DataOps, SQL Databases, Data Streaming, Scripting, Cloud Platform System, Data Classification, Data Ingestion, Snowflake, Information Technology, Data Lineage, Enterprise Integration, Data Pipelines, Docker, Amazon Redshift
- **Published:** November 6, 2026
- **Apply:** https://dejobs.org/x/x/C1BDA17EFCBD4D7A8D224D016DF54589/job/

## About the Role

* 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.)., * 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.

## Description

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., * 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.