Analytics Engineer

21st Century Equipment•Scottsbluff, NE

About The Position

At 21st Century Equipment LLC, we're looking for a full-time Analytics Engineer who is ready for a breakthrough opportunity - someone who thrives on creating clarity from complexity, building elegant analytics solutions, and empowering teams with trustworthy data. If you're eager for a role with real influence and long-term career growth, you've just found it! WHY WE'RE THE NEXT BEST CAREER MOVE: Since 1996, 21st Century Equipment LLC has empowered farmers with cutting-edge agricultural equipment and innovative solutions. Our vision is to be the leading agricultural solutions provider, driven by our team's creativity and entrepreneurial spirit. We value integrity, accountability, teamwork, and believing in the long-term future of production agriculture. Employees enjoy comprehensive benefits, opportunities for growth, and a supportive work environment that embraces change and rewards achievement. With a sincere commitment to making farming easier and empowering success, employees can contribute to a meaningful mission while enjoying a positive and rewarding work environment. YOUR MISSION: As our Analytics Engineer, you'll become the architect behind the scenes - the creator of semantic layers, trusted metrics, and automated workflows that help teams operate smarter and faster. This isn't a maintenance role. This is a make-things-better, build-what's-next, elevate-how-we-operate kind of role.

Requirements

Bachelor's degree in Data Analytics, Information Systems, Computer Science, or equivalent experience
2+ years of experience in Business Intelligence, Analytics Engineering, or Process Automation roles
Experience designing semantic models and working with enterprise reporting structures
Solid understanding of data concepts including governance, quality, and reporting best practices

Nice To Haves

Proficiency with SQL, DAX, and Power Query
Experience with Microsoft Fabric and Power BI in an enterprise environment
Experience using Power Automate, or similar process automation tools
Working knowledge of Microsoft Dynamics 365 and Dataverse
Ability to combine traditional analytics and data engineering skills with emerging AI capabilities, including machine learning concepts and generative AI tools
Semantic modeling and analytics architecture
Data visualization and storytelling
Workflow automation and process improvement
Cross-functional collaboration
Strong documentation and governance mindset
Problem-solving and continuous improvement

Responsibilities

Analytics Engineering & Semantic Modeling: Build and maintain the semantic and structural foundation of our analytics ecosystem, ensuring scalable, governed, and consistent data for enterprise reporting.
Reporting & Dashboard Development: Create intuitive, high‑impact Power BI dashboards and reporting experiences that improve usability, support self‑service analytics, and provide clear insights across departments.
Business Process Automation (Power Automate): Design and manage automated workflows that streamline operations, increase reliability, and eliminate manual inefficiencies throughout the organization.