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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 (https://careers.ozk.com/benefits) .

Job Purpose & Scope

Translates business requirements into technical and drives data engineering delivery with a focus on requirement management and traceability across development lifecycles. Acts as a central point of contact for requirement management of concurrent Data Engineering tracks across cross-functional teams with a focus on coordination across lines of business, DEM Team, IT team, internal audit stakeholders, and regulators.

Essential Job Functions

+ Designs and execute complex SQL queries to extract, transform, and analyze data in Snowflake.

+ Ensure data accuracy and integrity through validation processes and reconciliation techniques.

+ Owns the full data analysis lifecycle for data engineering product delivery.

+ Integrates and analyzes data from various sources (databases, APIs, flat files) to support business intelligence and reporting needs.

+ Collaborates with various business units to gather and understand data requirements.

+ Provides support and troubleshooting for SQL-based data issues and performance optimization.

+ Documents data definitions, business rules, and transformation logic.

+ Supports data governance initiatives by ensuring proper access controls, data quality standards, and audit trails.

+ Continuously improves SQL practices and contributes to the development of reusable query templates and reporting standards.

+ Performs other duties as assigned.

Knowledge, Skills & Abilities

+ Comprehensive in writing SQL queries for data extraction & analysis. Comprehensive knowledge of normalization, dimensional modeling, and building reusable views or dbt models in Snowflake.

+ General knowledge of the Data Engineering Product Development lifecycle.

+ General knowledge of Snowflake architecture (warehouses, stages, schemas, roles).

+ Ability to effectively manage data requirements and translate business requirements into data solutions.

+ Ability to exercise discretion and sound judgment in decision making.

+ Ability to meet stringent deadlines while maintaining accuracy and attention to detail.

+ Ability to manage multiple priorities and demonstrate flexibility in a continually changing environment.

+ Ability to design and maintain reports, dashboards and ad-hoc analysis using BI tools.

+ Ability to work independently and without close supervision.

+ Excellent communication and collaboration skills, with the ability to interact effectively with both technical and business stakeholders and build cross‐functional relationships.

+ Strong troubleshooting skills and attention to detail in data validation and reconciliation.

+ Strong proficiency in SQL for querying, profiling, and understanding of banks data engineering product requirements across both legacy and modern data platforms.

+ Proficiency in writing complex SQL queries for data extraction, transformation, and analysis.

+ Proficiency in interpreting data to generate insights, identify trends, and support decision-making.

+ Intermediate skill in project management tools (e.g., JIRA, Asana, MS Project) and collaboration platforms (e.g., SharePoint, Confluence).

+ Skill in using computers and Microsoft Office, including Word, Excel, Access, PowerPoint, and Outlook.

Basic Qualifications

+ Bachelor’s degree Computer Science, Information Systems, or related field, or commensurate work experience, required.

+ 4+ years of experience in data analytics, statistical analysis, or SQL querying required.

+ 2+ years of experience working with Python and R for data manipulation, statistical analysis, and automation required.

+ Must be able to submit to a post offer criminal background check which will include finger printing prior to employment with the Bank.

Preferred Qualifications:

+ Experience working within data portfolio in financial or Banking services organization preferred.

+ Experience supporting teams responsible for model development, model governance or model risk management, preferred.

Job Expectations

O perate 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.

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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.