As an Advanced Data Analyst 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 in the aerospace industry.

In this role, you will impact the aerospace industry by utilizing statistical techniques, machine learning algorithms, and predictive modeling to identify trends, patterns, and opportunities for process improvement and optimization. You will work closely with business leaders to understand their analytical needs and provide strategic recommendations based on data insights. Additionally, you will manage relationships with external vendors and partners to leverage their expertise and capabilities in analytics.

KEY RESPONSIBILITIES

+ Lead and manage analytics projects, ensuring timely delivery and alignment with business objectives

+ Collaborate with cross-functional teams to define project requirements and deliver actionable insights

+ Utilize statistical techniques, machine learning algorithms, and predictive modeling to identify trends and patterns

+ Develop and deliver reports, dashboards, and visualizations to effectively communicate insights to stakeholders

+ 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 analytics and data science

+ 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

U.S. PERSON REQUIREMENTS

Must be a US Citizen due to contractual requirements

YOU MUST HAVE

+ 5+ years of experience in analytics, data science, or related field

+ Strong analytical and problem-solving skills, with expertise in statistical analysis, machine learning, and predictive modeling

+ Proficiency in data visualization tools such as Tableau, Power BI, or similar

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

+ Excellent communication and presentation skills

+ High School Diploma or GED

WE VALUE

+ Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or related field. Master's degree preferred

+ Experience in SAP

+ Experience in Pricing

BENEFITS OF WORKING FOR HONEYWELL

In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information click here.

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

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.