Analytics Engineer

Rockwell Automation is a global technology leader focused on assisting the world's manufacturers become more productive, sustainable, and agile. With more than 28,000 employees improving the world every day, we recognize our unique position. Our clientele consists of exceptional companies that feed the world, provide lifesaving medicine on a global scale, and concentrate on clean water and green mobility. Our employees are motivated problem solvers who take pride in the positive worldwide impact of their work. We welcome all creators, forward-thinkers, and problem-solvers interested in a place to do their best work. If that's you, we'd love to have you join us! Job Description Rockwell Automation, a $7B industrial corporation with 28,000 employees in 100 countries, is leading the IoT revolution and is revolutionizing its IT infrastructure to digitize customer experiences. We require full-stack engineering professionals passionate about technology to drive innovative solutions. The Full Stack Analytics & Insights Engineer will design, develop, and deliver reliable, scalable analytics & insights using DevOps methodologies and DA&I Microsoft PaaS platforms. This role involves designing and building DA&I solutions and services throughout the company. It sets our strategic direction in delivering business outcomes via actionable analytics and decision intelligence, thereby helping our businesses recognize value. The Analytics Engineer is a multi-skilled engineer who helps to estimate work, accepts stories into delivery increments, and completes tasks to deliver the work. They should be proficient in Data modeling, Azure Analysis Services, Power BI, Databricks, Open source analytics tools or equivalent. Key Responsibilities: - Designs, codes and tests new Analytics applications, including supporting applications and interfaces - Supports cross-functional development activity in various Analytics and Connected Enterprise related projects, for internal and external customers - Develops and tests infrastructure components in Cloud and Edge-level environments - Proactively monitors industry trends and identifies opportunities to implement new technologies - Manages the DevOps pipeline deployment model - Enables automated testing procedures - Implements software in all environments - Leverages containerization models and collaborates with other engineers and architects to keep the architecture current - Assists in support and enhancement of applications - Writes high-quality, regulation-compliant code - Collaborates with business systems analysts and product owners to define requirements Basic Qualifications: - Bachelor's Degree in computer science, software engineering, management information systems, or a related field - Legal authorization to work in the US is required Preferred Qualifications: - Experience in systems development lifecycle - Familiarity with Agile development methodologies and system/process documentation - Experience with server-side architectures and containerization - Knowledge of Data Modeling, designing Star Schema, or other models based on requirements - Experience with DAX, M! (Power Query), SQL, Tabular models, or other domain-specific languages - Experience with AAS, SSAS, Power BI, SSMS, Dataflow, SSIS, Data Factory, SharePoint - Additional experience with Power Platform (Power Automate, flow, and Power Apps) is a plus - Ability to manage multiple projects simultaneously - Strong problem-solving skills, attention to detail, and critical thinking abilities - Proven ability to adapt to and assist colleagues through changing circumstances and support change management processes - Positive attitude retention ability in challenging circumstances We are an Equal Opportunity Employer including disability and veterans. If you have a disability and need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.