Principal Analytics Engineer – Analytics & AI Job Chicago area,Illinois USA,IT/Tech

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 elevate blockers when needed
Engage with internal and external customers to identify and prioritize areas of analysis and opportunity

Requirements

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 (No

SQL) databases (e.g., MongoDB, Cosmos DB, Cassandra, DynamoDB) and modern cloud data platforms.
Experience designing data products and enterprise-scale…