As an Advanced Analytics Engineer here at Honeywell Aerospace Commercial Excellence Team, 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 in the aerospace industry.

In this role, you will impact the aerospace industry by building and maintaining data models and pipelines, transforming raw data into clean, reliable datasets for business analysis and decision-making. You will collaborate closely with business stakeholders and data teams to understand needs, translate them into data structures, and use best practices to ensure data quality and efficiency. Key responsibilities include writing transformation code, testing data, documenting business logic, and developing data products like dashboards.

You will report directly to our Director, Analytics & Insights and you’ll work out of our Phoenix, AZ or Charlotte, NC site on a Hybrid work schedule. Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F.

KEY RESPONSIBILITIES

Data modeling and transformation: Design, build, and maintain robust data models and pipelines to transform raw data into a structured, organized, and accessible format for analysis.
Collaboration: Work with business users, data analysts, and data scientists to understand their needs and translate them into technical data solutions.
Data quality and documentation: Implement testing to ensure data accuracy and reliability, and document business logic and data models for future use.
Technical development: Apply software engineering best practices, including version control, to the analytics workflow, and develop automated and scalable data products.
Stakeholder communication: Provide insights and recommendations to stakeholders, and bridge the gap between technical data teams and business operations.
Manage relationships with external vendors and partners to leverage their expertise in analytics
Ensure data integrity, accuracy, and security throughout the analytics process
Stay updated with the latest trends and advancements in data science, AI and analytics
Travel: up to 10%

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