Advanced Data Analyst

Honeywell

Honeywell specializes in creating technologies that address critical global needs in energy, safety, and air travel. Their Corporate Strategic Business Group (CORP SBG) supports strategic operations, including analytics in aerospace. The Advanced Data Analyst will enhance decision-making using machine learning and predictive modeling, optimizing processes across the aerospace industry.

In this role you can expect to have the responsibilities:

• Lead and manage analytics projects in accordance with business objectives
• Collaborate with cross-functional teams to define requirements and deliver insights
• Utilize statistical techniques and machine learning for trend and pattern identification
• Develop and deliver reports, dashboards, and visualizations
• Manage relationships with external vendors and partners
• Ensure data integrity, accuracy, and security
• Stay updated on the latest analytics and data science trends
• Adhere to a hybrid work schedule after the first 90 days
• Travel up to 10%

This role comes with the following benefits:

• Employer-subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• Educational Assistance
• Parental Leave
• Paid Time Off including vacation, personal business, and sick time
• 12 Paid Holidays

This role requires you to have:

• 5+ years experience in analytics or a related field
• Strong skills in statistical analysis, machine learning, and predictive modeling
• Proficiency in Tableau, Power BI, or similar data visualization tools
• Proficiency in Python, R, or SQL
• Excellent communication and presentation skills
• Bachelor’s degree in a relevant technical discipline

You would benefit from having:

• Experience in SAP
• Experience in Pricing
• Experience with Snowflake
• Experience in Salesforce CRM Analytics

Applicants must meet U.S. Person criteria due to U.S. export control laws. Honeywell embraces and practices equal employment opportunity, considering applicants without regard to age, race, creed, color, national origin, sexual orientation, gender identity, disability, and more.