Business Intelligence Analyst

Are you passionate about turning complex data into clear insights that drive smarter decisions? Core Bank is seeking a Business Intelligence Analyst (Power BI / Data Analyst) to play a key role in shaping the future of data-driven strategy across the organization. In this highly collaborative role, you’ll partner with business leaders to deliver trusted analytics, enable reporting, and strengthen our enterprise reporting maturity. The ideal candidate blends technical expertise with business acumen and curiosity for AI/ML, ensuring data is not only accurate and secure, but also actionable. If you’re ready to influence strategy, enhance customer insight, and support innovation in a growing financial institution, we’d love to connect.

Company Overview

Core Bank is a high-performing, tech-forward community bank serving Omaha and Kansas City. Guided by our vision to be high-performing, solutions-based, and tech-forward, we combine trusted relationships with modern tools to deliver smarter, faster, and more personalized banking. Our culture—what we call our Recipe for Awesome—makes Core Bank more than a place to work or bank; it’s a place where people grow, solutions thrive, and together we build better. If you want to help us build something remarkable, then we'd love to get to know you. To learn more about what makes us - us, explore www.corebankcareers.com.

Position Summary

The Power BI / Data Analyst plays a critical role in driving data-informed decision-making across the organization by delivering trusted analytics, enabling self-service capabilities, and enhancing organizational reporting maturity. Operating within a financial and enterprise context, this role works in close alignment with the Lead IT Systems Administrator, Data Engineer, Security Analyst, Lines of Business (LOBs), and Compliance/Risk teams to ensure infrastructure readiness, data security, and business-driven insight delivery.

Core Responsibilities

1. Data Analysis & Insights Generation

• Analyze structured and unstructured business data to uncover trends, patterns, and actionable insights.
• Provide ad hoc analysis and recommendations to support strategic initiatives.
• Translate complex data into clear, business-friendly narratives for decision-makers.
• Validate data integrity to ensure the accuracy and trustworthiness of insights.
• Apply statistical, financial, and machine learning–enabled methods to support business cases, risk oversight, and growth modeling.

2. Power BI Reporting & Dashboard Development

• Design, build, and optimize interactive Power BI dashboards and reports.
• Leverage DAX for calculated columns, measures, and KPIs that align with business objectives.
• Apply UX/UI best practices for report layout and navigation.
• Implement role-level security to protect sensitive data in compliance with regulatory standards.
• Enable mobile-friendly and embedded partner-facing dashboards when required.
• Explore AI-driven dashboard features (e.g., Copilot in Power BI) for automated insights, trend detection, and natural language querying.

3. Data Modeling & Preparation

• Develop efficient star and snowflake schemas in Power BI or enterprise semantic layers.
• Shape, transform, and clean data using Power Query (M) to ensure model accuracy.
• Collaborate with Data Engineers to align modeling with enterprise architecture.
• Ensure relationships, cardinality, and filter propagation follow best practices.
• Support ingestion testing and validation of pipelines, including AI-ready datasets for advanced analytics.

4. Collaboration & Requirements Gathering

• Partner with business leaders to capture analytical needs, KPIs, and success criteria.
• Translate business questions into measurable data requirements.
• Coordinate with Data Engineers and IT to ensure pipelines are ready and secure.
• Lead working sessions and report walkthroughs for stakeholders.
• Communicate findings and recommendations clearly to executives, compliance teams, and partners.
• Contribute to the AI Working Group, identifying use cases where BI outputs can be extended with AI/ML models.

5. Self-Service Enablement & Governance

• Develop standardized datasets and reusable semantic models for business use.
• Maintain data dictionaries, report guides, and metadata documentation.
• Educate business users on Power BI usage, basic data literacy, and safe use of AI-powered tools.
• Support governance policies for consistent reporting and compliance.
• Foster a data and AI-driven culture by championing best practices in analytics adoption.

6. Monitoring & Optimization

• Monitor performance, refresh schedules, and usage metrics of reports and datasets.
• Troubleshoot data refresh errors, inefficiencies, and user access issues.
• Track adoption and assess the value of analytics solutions.
• Leverage AI-assisted monitoring tools to identify anomalies, usage trends, or optimization opportunities.

7. Data Quality & Validation

• Validate outputs against source systems to ensure accuracy.
• Partner with IT and Compliance/Risk to address anomalies or inconsistencies.
• Proactively flag integrity concerns and recommend remediation steps.
• Support data cleanup initiatives to reduce duplication and non-standard reporting.
• Ensure training data for AI models is clean, well-governed, and regulatory-compliant.

8. Documentation, Change Management & Audit Readiness

• Maintain documentation for each dashboard, KPI, and dataset.
• Track version history and changes to calculations, data sources, and logic.
• Support audits by documenting lineage, controls, and compliance evidence.
• Document use of AI-enabled features to ensure transparency, explainability, and regulatory alignment.

Required Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field preferred
• 8+ years of experience in business intelligence, data analysis, or related role
• Proficiency in Power BI, DAX, Power Query (M language), and SQL
• Experience working with enterprise data platforms such as Azure and Snowflake
• Strong understanding of data modeling concepts and visualization best practices
• Excellent communication skills; understands business needs by asking the right questions and clarifying requirements
• Ability to translate business needs into technical solutions
• Familiarity with data governance, privacy, and compliance in financial services
• Ability to pivot between projects or priorities in a fast-changing environment
• Excellent attention to detail; ensures accuracy and integrity of reporting
• Alignment with Core Bank's Purpose, Vision, and Values

Preferred Qualifications

• Experience in a financial institution or enterprise environment
• Knowledge of advanced analytics, AI, or machine learning concepts
• Experience with APIs and integrating BI solutions with other enterprise systems
• Background in change management and user adoption strategies
• Professional certifications in Power BI, SQL, or data analytics

Core Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.