Banner Bank is a well-established financial institution with over 135 years of experience, recognized for its outstanding workplace culture and financial strength. The BI Data Engineer will be responsible for transforming data into actionable insights, building and maintaining BI solutions, and ensuring data quality and governance across the organization.
Responsibilities:
- Design, develop, and maintain scalable BI solutions including databases, data warehouses, queries, views, reports, and dashboards
- Collect, organize, and analyze data from multiple internal and external sources to answer business questions and improve key business metrics
- Build and maintain ETL processes, data pipelines, and integrations that ensure reliable and timely data availability
- Partner closely with end users, BI Data Analysts, and software development teams to translate business needs into effective data solutions
- Support the integration of BI and analytics platforms with enterprise applications and systems
- Monitor, troubleshoot, and optimize BI tools, data loads, and production processes to ensure performance and data accuracy
- Ensure data quality, consistency, and governance standards are met, including maintaining metadata repositories
- Provide production support, communicate issues and resolutions to customers, and assist with ad hoc reporting needs
- Develop training materials and deliver end-user training on BI tools and reports
- Contribute to research and evaluation of new BI technologies and partner with Architects to recommend improvements and new solutions
- Create efficient, automated, and well-documented processes that comply with security, regulatory, and policy requirements
Requirements:
- You have a Bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required)
- An equivalent combination of education and experience can be considered in lieu of a degree
- You have 4+ years of related technical experience, including 3+ years working with large-scale datasets, databases, ETL, and analytics tools (Required)
- Experience in banking, financial services, or insurance environments is helpful (Preferred)