Advanced Data Analyst

Job Description In this role, you will impact the organization by providing critical data analysis that supports decision-making processes, ultimately driving improvements in performance and innovation within the aerospace sector.

You will report directly to our Sr. Materials Management Supervisor and you’ll work out of our Clearwater, FL location on a 100% onsite work schedule.

• Utilize advanced statistical methods and data modeling techniques to analyze large data sets.
• Collaborate with cross-functional teams to identify data needs and ensure data quality.
• Develop and maintain dashboards and reports that provide insights into key performance indicators.

• Minimum 3 years of experience in data analysis or a related role.
• Strong knowledge of data analytics tools and methodologies.
• Experience with data visualization tools such as Tableau or Power BI.
• Proficiency in programming languages such as Python or R for data analysis.
• Familiarity with SQL for database querying and management.
• Microsoft Office, advanced Excel skills, and process documentation.

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Experience in ERP/MRP manufacturing, supply chain, SAP, and SIOP.
• Experience in presentation/meeting facilitation.
• 3 years of experience in data analysis within the aerospace or technology sector.
• Strong analytical and problem-solving skills.
• Attention to detail and a strong focus on data accuracy.
• Ability to work collaboratively in a fast-paced environment.

US Citizen Requirement Must be a US Citizen due to contractual requirements.

In addition to a competitive salary, leading‑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 visit  ().

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. Job posting date:
December 5, 2026.