As a **Lead Analytics Engineer** for Commercial Excellence here at Honeywell Aerospace Technologies, you will play a critical role in driving data-driven decision-making and providing valuable insights to support business growth and operational excellence. You will be responsible for managing analytics projects, collaborating with cross-functional teams, and delivering actionable insights to drive business outcomes and support the expansion of analytics capabilities serving hundreds of commercial users including sellers, analytics and business leaders.

**Analytics Engineering Leadership**

+ Lead the design and development of scalable analytics models, pipelines, and semantic layers that power commercial analytics and AI solutions

+ Establish and promote best practices for analytics engineering, including data modeling standards, pipeline development, testing frameworks, and documentation

+ Provide technical leadership and mentorship to analytics engineers and analysts while guiding the adoption of modern data engineering practices

+ Architect and maintain robust data pipelines that transform raw operational data into trusted, structured datasets for analytics and decision making

+ Design and build reusable commercial data products supporting the commercial function including pricing analytics, sales performance insights, forecasting and market intelligence

+ Develop scalable analytics datasets and semantic models that enable self service reporting and advanced analytics across commercial teams

**Data Architecture and Data Products**

**AI & Advanced Analytics Enablement**

+ Partner with Data Scientists and Decision Scientists to deploy machine learning models and AI solutions to support commercial workflows

+ Develop feature pipelines and curated datasets optimized for machine learning training, inference, and predictive analytics applications

+ Support the development of AI powered decision support tools and commercial copilots used by the commercial teams across pricing, sales, marketing, offering management and strategy teams

**Commercial Analytics Lab Support**

+ Contribute to the development and scaling of the Commercial Analytics Lab, enabling rapid experimentation and deployment of analytics and AI solutions

+ Collaborate with commercial subject matter experts, data scientists, decision scientist and analysts to translate business opportunities into scalable analytics solutions and data products

+ Build reusable data frameworks that accelerate experimentation and model deployment

+ Partner with enterprise IT and data platform teams to operationalize select successful lab prototypes into enterprise grade solutions.

**Additional**

+ Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F

+ Travel: up to 10%

+ Reports to: Director of Analytics & Insights

_“Must be a US Citizen due to contractual requirements”_

**YOU MUST HAVE**

+ At least 7 years of experience in data engineering, analytics engineering or advanced analytics

+ Deep expertise in data modeling, ETL/ELT development, and analytics data architecture

+ Experience with cloud data platforms such as Databricks, Snowflake or Microsoft Fabric

+ Proficiency in programming languages such as Python, R, or SQL

+ Experience working with machine learning datasets and supporting ML deployment pipelines

+ Strong analytical, communication, and stakeholder engagement skills

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.