Advanced Analytics Engineer

Honeywell Aerospace • Phoenix, AZ

3h • Hybrid

About The Position

As an Advanced Analytics Engineer at Honeywell Aerospace Technologies 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. This role involves managing analytics projects, collaborating with cross-functional teams, and delivering actionable insights to drive business outcomes in the aerospace industry. You will be responsible for building and maintaining data models and pipelines, transforming raw data into clean, reliable datasets for business analysis and decision-making. Collaboration with business stakeholders and data teams is crucial to understand needs, translate them into data structures, and apply best practices to ensure data quality and efficiency. Key tasks include writing transformation code, testing data, documenting business logic, and developing data products such as dashboards. This position reports directly to the Director, Analytics & Insights and operates on a Hybrid work schedule from Phoenix, AZ or Charlotte, NC, with the first 90 days requiring 100% onsite work.

Requirements

• Experience in managing analytics projects.
• Ability to collaborate with cross-functional teams.
• Skill in delivering actionable insights to drive business outcomes.
• Proficiency in building and maintaining data models and pipelines.
• Expertise in transforming raw data into clean, reliable datasets.
• Ability to collaborate closely with business stakeholders and data teams to understand needs.
• Skill in translating business needs into data structures.
• Knowledge of best practices to ensure data quality and efficiency.
• Experience in writing transformation code.
• Ability to test data for accuracy and reliability.
• Skill in documenting business logic and data models.
• Experience in developing data products like dashboards.
• Ability to apply software engineering best practices, including version control, to the analytics workflow.
• Ability to develop automated and scalable data products.
• Strong communication skills to provide insights and recommendations to stakeholders.
• Ability to bridge the gap between technical data teams and business operations.
• Capability to manage relationships with external vendors and partners.
• Commitment to ensuring data integrity, accuracy, and security.
• Dedication to staying updated with the latest trends and advancements in data science, AI and analytics.

Responsibilities

• Design, build, and maintain robust data models and pipelines to transform raw data into a structured, organized, and accessible format for analysis.
• Work with business users, data analysts, and data scientists to understand their needs and translate them into technical data solutions.
• Implement testing to ensure data accuracy and reliability, and document business logic and data models for future use.
• Apply software engineering best practices, including version control, to the analytics workflow, and develop automated and scalable data products.
• 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%

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees