Principal Analytics Engineer - Analytics & AI

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

- 8+ years of analytics experience developing business solutions using comprehensive, robust data assets - Experience with AI-enabled analytics, conversational analytics, natural-language querying, or intelligent workflow solutions. - Experience applying software engineering principles to analytics solutions, including Git-based source control, CI/CD pipelines, automated testing, and code review practices. - Experience developing reusable analytics frameworks, semantic models, APIs, or shared data services. - Experience integrating AI and Large Language Models (LLMs) into analytics workflows using technologies such as Microsoft Copilot, Azure AI, OpenAI, or similar platforms. - Experience with Python or C# for analytics automation, data processing, or AI solution development. - Experience building cloud-native analytics solutions on Azure using services such as Azure Data Factory, Azure Functions, Logic Apps, or Fabric. - Experience with relational and non-relational (NoSQL) databases (e.g., MongoDB, Cosmos DB, Cassandra, DynamoDB) and modern cloud data platforms. - Experience designing data products and enterprise-scale analytics platforms rather than standalone dashboards. - Familiarity with Infrastructure as Code, DevOps practices, and modern deployment automation. - Experience partnering with software engineering teams to build scalable data and analytics solutions. - Mastery proficiency with Microsoft Power BI, and strong working proficiency with the broader Microsoft Power Platform Suite of programs (Power Apps, Power Automate) - Advanced knowledge and practical application of a programming language - Bachelor's degree or a minimum of 4 years of equivalent work experience and a high school diploma/GED

- Logistics and supply chain experience - Mastery understanding of data fundamentals, SQL Querying, and passion for data integrity, testing, and validation - Experience working with product teams in an iterative environment - Positive, collaborative working style - Effective communicator and data/reporting/business liaison through multiple mediums - Values a diverse and inclusive work environment

The base pay range displayed on each job posting reflects the minimum and maximum base pay for the position across all U.S. locations. Your individual base pay within this range is determined by work location, which takes into account geographic cost of labor, and additional factors, including job-related skills, experience, and relevant education or training.

Compensation details listed in this posting reflect the base pay only and do not include additional variable compensation.

Questioning if you meet the mark? Studies have shown that some individuals may be less likely to apply unless they match the job description exactly. Here at C.H.

Robinson, we're building an inclusive workplace where all employees feel they belong. If this position excites you, we welcome you to apply whether you check all the preferred qualifications or just a few. You may just be our next great fit!