Principal Analytics Engineer - Analytics & AI

About this role

At C.H. Robinson, we're transforming the way data powers decisions across our global business. As a Principal Analytics Engineer - Analytics and AI, you'll play a key role in advancing our analytics strategy by designing modern, scalable business intelligence solutions that combine data, automation, and AI to deliver faster, more trusted insights.

You'll operate at the intersection of software engineering, data architecture, business intelligence, and artificial intelligence—building enterprise-scale analytics products that are secure, scalable, and designed for the future. You'll serve as both a technical leader and strategic partner, translating complex business challenges into enterprise analytics products that enable self-service reporting, intelligent automation, and AI-powered decision support. You'll lead the design and evolution of trusted data assets, semantic models, dashboards, and automated workflows while helping shape the future of how data is accessed, governed, and consumed across the organization.

Leveraging deep expertise in Power BI, SQL, Snowflake, data modeling, and analytics architecture, you'll partner with cross-functional teams to build scalable solutions that improve operational efficiency and business outcomes. You'll also help drive adoption of emerging technologies—including Microsoft Copilot, AI-assisted development, workflow automation, and conversational analytics—to enhance productivity and create next-generation user experiences.

If you're passionate about combining business intelligence, data architecture, automation, and AI to solve complex business problems, this is an opportunity to make a lasting impact on one of the world's largest logistics and supply chain organizations while helping shape the future of data-driven innovation at C.H. Robinson.

Duties &Responsibilities: The duties and responsibilities of this position consists of, but are not limited to, the following:  • Design analytics solutions using software engineering best practices to ensure scalability, maintainability, and long-term supportability. • Build reusable analytics components, semantic models, and shared data services that accelerate enterprise adoption. • Lead adoption of AI-assisted development, automation, and engineering practices within the Analytics organization. • Partner with software engineering and platform teams to integrate analytics into enterprise applications through APIs and event-driven architecture. • Extract and interpret data to answer ambiguous questions while working directly with personnel across the network • Determine reporting, analytics, and additional analysis needed to support initiatives and measurement • Proactively analyze topics, identify insights, and create recommendations supported by facts to change behaviors and drive operational improvements across the team and business • Clearly translate and communicate complex concepts into understandable, professional presentations • Consult, support, and inform leadership using data-driven insights • Translate business needs into technical specifications and scalable analytical solutions • Analyze, design, develop, document, test, and deploy BI, analytics, and data solutions • Design and maintain semantic models, KPI definitions, and governed data assets that enable consistent reporting, analytics, and AI-driven insights • Develop and execute SQL across enterprise and cloud data platforms, including Snowflake, to power analytics and reporting solutions • Create engaging visualizations, dashboards, and self-service analytics products for internal and external stakeholders • Enhance, modernize, and support existing solutions, including migration of legacy assets where appropriate • Identify opportunities to automate analytics workflows and reduce manual effort through AI-enabled development, workflow orchestration, and self-service solutions • Contribute to the design of conversational analytics and natural-language data experiences that increase accessibility to trusted business insights • Evaluate and implement emerging technologies that improve analytics delivery, stakeholder experience, and team productivity • Lead the adoption of modern analytics practices, including AI-assisted development, automated testing, documentation, and governance standards • Establish best practices for data quality, governance, lineage, and validation to ensure trust in analytics and AI-generated outputs • Develop and maintain technical documentation to support long-term maintainability and knowledge sharing • Implement best practices for optimum use, performance, scalability, and maintainability of BI and analytics solutions • Provide technical leadership to the team and help build the skills of other team members • Mentor team members on modern BI, analytics engineering, and AI-enabled delivery practices • Mentor, train, and support the development of other analysts across the network • Present and deliver analytical value through business intelligence, storytelling, and cross-functional collaboration • Build relationships and consult across the network to bring solutions to life • Collaborate with internal analytics teams to develop solutions in tandem • Partner with business and technology stakeholders to develop scalable analytics products and data solutions that support strategic objectives • Partner with internal departments to understand drivers of trends and the impact of business changes • Collaborate with leadership to develop and maintain robust performance reporting and analytics • Advocate for and build data-fueled products that help our Commercial Organization improve business outcomes • Lead project plans, process flows, and metrics; facilitate project meetings, communicate progress, and escalate blockers when needed • Engage with internal and external customers to identify and prioritize areas of analysis and opportunity

Required Qualifications: •  8+ years of analytics experience developing busines

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