Business Intelligence Developer | Analytics Engineer

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

We are seeking a Business Intelligence Developer / Analytics Engineer to design and deliver trusted analytical solutions for business users across the organization. This role will work closely with stakeholders to understand reporting and analytical requirements, translate those needs into governed semantic models, and develop high-quality Power BI reports and dashboards.

The ideal candidate has strong Power BI experience, understands relational database concepts, enjoys partnering with business users, and is passionate about delivering accurate and actionable insights. This role also provides opportunities to learn Snowflake development and data engineering practices while working alongside an experienced data platform team.

Key Responsibilities

Business Analysis & Stakeholder Engagement

• Partner with business users to gather, document, and refine reporting and analytics requirements.
• Facilitate requirements workshops, report reviews, and user acceptance testing sessions.
• Translate business questions into scalable data models and reporting solutions.
• Communicate technical concepts effectively to both technical and non-technical audiences.

Power BI Development

• Design, develop, and maintain Power BI dashboards, reports, scorecards, and dataflows.
• Build and support governed semantic models that promote data consistency and reuse.
• Develop advanced DAX calculations and Power Query transformations.
• Optimize report performance, usability, and maintainability.
• Implement row-level security and other access controls aligned with business requirements.

Data Modeling & Analytics

• Design and maintain dimensional models that support reporting and self-service analytics.
• Work with relational databases and curated Snowflake datasets as reporting sources.
• Validate report outputs and reconcile key metrics with source systems.
• Support the creation of certified datasets and enterprise KPIs.

Governance & Documentation

• Document business definitions, calculation logic, report specifications, and data lineage.
• Support internal and external audits by maintaining appropriate documentation and evidence.
• Participate in testing, release management, and change-control processes.

Professional Development

• Collaborate with Snowflake engineers to better understand data architecture and engineering practices.
• Participate in Snowflake design discussions and data modeling initiatives.
• Pursue Snowflake training and certification opportunities.