Data Governance Risk Analyst

Core Responsibilities

As a Data Governance Risk Analyst at Banner Bank, you’ll play a pivotal role in strengthening how the Bank manages, governs, and uses data to understand and mitigate risk. You’ll sit at the intersection of Data Governance and Enterprise Risk Management, helping ensure data is trusted, well-managed, and aligned to enterprise risk standards.

Key Responsibilities

• Maintain and evolve the Bank’s data governance policies, standards, and metadata practices in partnership with data owners, IT teams, and business users.
• Support the ongoing maturity of the data risk governance framework, including data controls, standards, and data quality monitoring processes.
• Collaborate with IT, Data Governance, and business line partners to resolve data issues and ensure governance requirements are consistently met.
• Design, build, and maintain Power BI dashboards, reports, and data models that support enterprise-wide risk reporting across multiple risk disciplines.
• Leverage Power Query, DAX, and optimized dataflows to ensure reporting accuracy, consistency, and scalability.
• Partner with subject matter experts and risk leaders to define risk taxonomy, metrics, and reporting requirements.
• Translate complex business needs into clear, actionable insights and reporting solutions.
• Serve as a Power BI subject matter expert within the Risk Division, promoting best practices and a strong data-driven culture.

Requirements

• A Bachelor’s Degree in Data Analytics, Information Systems, Business, Finance, Risk Management, or a related field (Required).
• Four or more years of relevant experience in data analysis, data governance, or risk-related roles (Required).
• Experience working in financial services is preferred.
• Understanding that an equivalent combination of education and experience can be considered in lieu of a degree.

Preferred Skills

• Strong proficiency in Power BI, including data modeling, DAX, and dashboard development.
• Solid understanding of data governance principles, data quality concepts, and risk management frameworks.
• Comfort working with structured data, SQL queries, and data preparation tools.
• Ability to communicate complex data and risk concepts clearly to both technical and non-technical audiences.
• Keen attention to detail and ability to juggle multiple priorities in a fast-paced environment.
• Strong analytical, problem-solving, and critical thinking skills to address real-world risk challenges.
• Working knowledge of Enterprise Risk, Model Risk, Compliance, AML/BSA, or Third-Party Risk frameworks.