The Senior Data Analytics Engineer is responsible for establishing standards, developing proof-of-concept solutions, and ensuring adherence to best practices for both individual and team projects. This role involves designing, coding, testing, documenting, and maintaining the Cloud Data Warehouse, Azure Data Lake, Machine Learning, and Artificial Intelligence applications to meet business needs. Additionally, the role requires gathering reporting requirements and developing Cloud Data Warehouse applications in alignment with business requirements and enterprise standards.

Rush Enterprises, Inc. opens the door to the world of opportunity. We are a part of the largest network of commercial vehicle dealerships in North America representing truck and trailer manufacturers. Our franchises include Peterbilt, International, Hino, Isuzu, Ford, IC Bus and Blue Bird. We offer a rewarding career as a leader in the transportation industry. Grow with us as we continue to expand our network of locations and services.

Key Objectives:

• Design proposals and oversee the efficient development, testing, and deployment of components within the Cloud Data Warehouse (CDW).
• Maintain working knowledge of systems related to the CDW, including SAP, SQL Server, Extract Transform & Load (ETL) tools, and other integrated platforms.
• Develop and propose CDW architecture while establishing integration points and connections to source systems.
• Contribute to proof-of-concept initiatives, document solutions, and train team members on best practices for software integration with the CDW.
• Support and manage day-to-day CDW operations, including scheduling, monitoring, troubleshooting, and data transformation and modeling using established toolsets.
• Implement reporting solutions using Tableau, Power BI, or similar reporting tools.
• Troubleshoot and resolve data issues within the CDW while collaborating with the extraction team to address source system problems.
• Collaborate with the data science team to develop applications based on requirements, leveraging Python or other analytics scripting languages.
• Maintain and support software toolsets for analytics activities, including modeling tools, ETL tools, and data science platforms.
• Lead the migration of legacy systems to modern target architectures.
• Perform statistical analysis, optimize performance, and ensure efficient code development.

Education and/or Experience

• Bachelor’s degree is preferred.
• 6 years of data analytics, programming, database administration, data management, training, or related experience is preferred.
• Consideration is given to relevant experience and related certification.

Total Rewards & Compensation:

• We offer an exceptional Total Rewards package with outstanding healthcare benefits, a robust 401(k) plan with company matching, and an employee stock purchase program to help you build long-term financial security. Additionally, we provide performance-based incentives and opportunities for professional growth through ongoing training and development. All of this is within a culture that values and rewards excellence, a positive attitude, and integrity, ensuring you thrive personally and professionally.

Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled

This job posting does not state or imply that these are the only duties to be performed by this employee. The employee will be required to follow any other instructions and to perform any other duties requested by their leader. EEOC.