Business Analyst - Enterprise Data & Reporting

Bell Bank•Bloomington, MN

About The Position

This position is part of the Enterprise Data & Reporting (EDR) organization, which includes leadership for the AI Center of Excellence (COE) for Bell Bank. The Business Analyst plays a pivotal role in supporting the bank’s data-driven initiatives. This position is responsible for gathering requirements, analyzing business needs, and delivering actionable insights through data, reporting, and AI solutions. The Business Analyst will collaborate with stakeholders across the organization to enhance data quality, streamline reporting, and drive strategic initiatives.

Requirements

Bachelor’s Degree in Business, Information Systems, Data Analytics, or related field; or equivalent amount of experience.
5+ years of experience in collecting, analyzing, and interpreting large data sets.
Experience using various types of artificial intelligence to create business efficiencies.
Strong analytical skills with proficiency in SQL, Excel, and data visualization tools.
Experience with data warehousing, ETL processes, and reporting platforms.
Excellent verbal and written communication skills.
Proven ability to efficiently lead process review.
Knowledge of banking operations, products, and regulatory environment.
Ability to self-motivate with high attention to detail.
Strong organizational, research, analytical and problem-solving skills.
Ability to work independently as a part of a cross-functional team.

Responsibilities

Partner with business units to understand data and reporting needs, translating requirements into data specifications and business solutions.
Analyze complex datasets to identify trends, patterns, and opportunities for improvement.
Design, develop, and maintain dashboards, reports, and data visualizations using Cognos and Power BI.
Ensure data integrity and accuracy by validating sources and performing quality checks.
Support data governance initiatives and compliance with regulatory requirements (e.g., GDPR, CCPA, banking regulations).
Collaborate with IT, business units, and other teams to implement data solutions and resolve issues.
Provide training and support to end-users on reporting tools and data best practices.
Assist in the development of AI use cases and coordinate product assessments for pertinent AI use cases.
Contribute to the improvement of overall documentation for the data and reporting ecosystem, including the metadata repository.
Support testing of various components within the data and reporting ecosystem as needed.
Monitor and report on key performance indicators (KPIs) and metrics relevant to ongoing operations.