Principal Analytics Engineer – Analytics & AI

Jobtailor; Illinois; On-site; USD 130,000 - 180,000; Full time

Job summary

Jobtailor is seeking an experienced analytics leader to design and deliver scalable data solutions. You will architect AI-enabled analytics, build semantic models, and drive adoption of best practices across analytics engineering.

Collaboration with software teams will be essential to power enterprise applications with analytics through APIs and event-driven design. You will mentor analysts, develop reusable data services, and deliver governance, data quality, and performance reporting to

Qualifications

• 8+ years of analytics experience developing business solutions with robust data assets.
• Experience with AI-enabled analytics, conversational analytics, NL querying, or intelligent workflows.
• Experience applying software engineering principles to analytics solutions (CI/CD, automated testing, code review).
• Experience developing reusable analytics frameworks, semantic models, APIs, or shared data services.
• Experience integrating AI/LLMs into analytics workflows with major platforms like OpenAI or Azure AI.
• Experience with Python or C# for analytics automation or data processing.
• Experience building cloud-native analytics on Azure (ADF, Functions, Logic Apps, Fabric).
• Experience with relational and NoSQL databases and modern cloud data platforms.
• Designing data products and enterprise-scale analytics platforms.
• Familiarity with IaC, DevOps, and deployment automation.

Responsibilities

• Design analytics solutions following software engineering best practices for scalability and maintainability.
• Build reusable analytics components, semantic models, and shared data services.
• Lead adoption of AI-assisted development, automation, and governance in Analytics.
• Collaborate with software engineering to integrate analytics into enterprise apps via APIs and event-driven architecture.
• Extract and interpret data to answer business questions and support initiatives.
• Develop reporting, analytics, and additional analyses to measure impact.
• Present complex concepts in clear, professional presentations to leadership.
• Develop dashboards and self-service analytics products for internal and external stakeholders.
• Enhance and migrate legacy assets; automate analytics workflows with AI-enabled tooling.

Skills

AI-Enabled Analytics

Data Governance

SQL Development

Microsoft Power BI

Cloud-Native Analytics

Collaboration

Presentation Skills

Python

C#

Data Modeling

Education

Bachelor's degree or 4 years equivalent

Tools

Power BI

Snowflake

Azure Data Factory

Azure Functions

Logic Apps

Git

OpenAI

Microsoft Copilot

Job description

• 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 (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

Core Competencies

Demonstrates expertise in developing scalable analytics solutions using AI-enabled technologies, data governance, and software engineering best practices. Proficient in translating business needs into technical specifications while fostering collaboration across teams to drive operational improvements.

Highest-signal resume keywords

• AI-Enabled Analytics
• Data Governance
• SQL Development
• Microsoft Power BI
• Cloud-Native Analytics Solutions

ATS Optimization Keywords

Hard Skills

• Python
• C#
• SQL
• Data Modeling
• APIs
• Semantic Models
• Automated Testing
• CI/CD Pipelines
• Conversational Analytics
• Data Processing

Soft Skills

• Collaboration
• Communication
• Mentoring
• Problem-Solving
• Presentation Skills

Industry Keywords

• Business Intelligence
• Analytics Engineering
• Data Quality
• Data Lineage
• Performance Reporting

Tools & Technologies

• Microsoft Power Platform
• Azure Data Factory
• Azure Functions
• Logic Apps
• Snowflake
• Git
• OpenAI
• Microsoft Copilot