Analyst, Data Engineering

Bank OZK • Little Rock, AR

3d

About The Position

As Analyst, Data Engineering, you will assist with developing, testing, and maintaining data solutions that support the Bank's Data Strategy. Working under general direction, you will translate defined business and technical requirements into data models, ETL or ELT processes, reports, and other data solutions. As a member of the Data Engineering Team, you will complete assigned development and support activities while building knowledge of the Bank's data architecture, platforms, standards, and business processes. The role calls for customer service, problem-solving, planning, teamwork, communication, and organizational skills.

You will help develop and support data applications and solutions, test and validate work against requirements, document and assist with resolving defects and technical issues, and support releases in accordance with established development, testing, deployment, change-control, and version-management standards. You will work with team members, management, business partners, and other technology teams, escalating complex issues when appropriate. The role also includes learning the business processes and data requirements of supported lines of business, participating in training and professional development, and complying with regulatory policies and guidelines.

Requirements

• Bachelor's degree in a job-related field or commensurate work experience.
• At least 1 year of experience in database development, data warehouse development, data analytics, data science, business intelligence, or a related technical field.
• Experience with SQL or another database query language.
• Foundational knowledge of database development, data warehousing, data modeling, reporting, and data integration concepts.
• Foundational knowledge of ETL or ELT processes and relational database concepts.
• Ability to learn and apply established data development standards, procedures, and technical requirements.
• Ability to analyze defined problems, identify potential causes, and assist with implementing appropriate solutions.
• Ability to test and validate data for accuracy, completeness, and consistency.
• Ability to organize work, manage priorities, and meet deadlines.
• Ability to maintain focus while completing individual or multiple tasks and work effectively in a challenging, changing environment.
• Ability to communicate effectively verbally and in writing with employees at various organizational levels.
• Ability to document technical processes, testing results, issues, and resolutions clearly and accurately.
• Ability to work independently on defined assignments under general supervision and collaboratively in a team environment.
• Skill in using computers and Microsoft Office applications, including Word, Excel, and Outlook.

Nice To Haves

• Experience with a reporting or data visualization technology such as Power BI, SSRS, Tableau, Qlik, or a similar platform.
• Experience with an ETL or ELT tool or data integration process.
• Experience with Jira, Azure DevOps, or a similar development management environment.
• Experience with a cloud-based data platform, such as Snowflake.
• Data development or cloud platform certification, such as SnowPro or a Microsoft data certification.

Responsibilities

• Assist with developing and maintaining data models, data pipelines, reports, and other data solutions in accordance with engineering standards.
• Complete assigned data development tasks under the direction of experienced Data Engineering team members or management.
• Test and validate data solutions to verify that business and technical requirements are met.
• Identify and document data defects, processing errors, and technical issues, and assist with resolving them.
• Escalate complex data or development issues when appropriate.
• Provide work estimates and communicate changes that may affect expected completion.
• Follow established data development, documentation, testing, and deployment standards.
• Collaborate with Data Engineering team members, management, business partners, and other technology teams.
• Assist with the design, development, implementation, and production support of data applications and solutions.
• Apply foundational knowledge of data modeling, ETL or ELT methodologies, database development, and reporting technologies to assigned work.
• Develop understanding of the Bank's enterprise data architecture, platforms, operations, and governance requirements.
• Assist with preparing technical documentation and deployment materials for data solution releases.
• Coordinate with the Data Assurance and Deployment team as directed to support properly documented releases.
• Learn supported lines of business' processes, data requirements, and operating environments.
• Follow established change-control and version-management processes.
• Participate in training and professional development activities and keep informed about relevant data engineering tools, platforms, and practices.
• Support and model the Bank's values and mission.
• Ensure compliance with internal and external regulatory policies, procedures, and guidelines.

Benefits

• Generous paid time off (PTO).
• 401(k) matching.
• Health insurance.
• Dental insurance.
• Vision insurance.
• Pet insurance.
• Special perks and discounts.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level