Advanced Data Analyst

As an Advanced Data Analyst here at Honeywell, you will play a pivotal role in leveraging data analytics to enhance the performance and efficiency of our Building Automation systems. Your expertise will drive data-driven insights that support operational excellence and strategic decision-making.

You will report directly to our Sr. Director Data Program Management and you’ll work out of our Atlanta, GA or Charlotte, NC on a Hybrid work schedule.

Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F.

In this role, you will impact the effectiveness of our Building Automation solutions by framing, reviewing and implementing data governance policies, as well as updating, curating, and maintaining high-quality master data for Products and Customers.

KEY RESPONSIBILITIES

• Analyze large datasets to extract actionable insights that drive improvements in Building Automation performance.
• Create and maintain standard operating procedures and governance policies for Product master data, product taxonomy and associated digital assets.
• Create and maintain standard operating procedures and governance policies for Customer master data and associated attributes.
• Collaborate with cross-functional teams to identify data requirements and ensure data quality and integrity.
• Develop and implement advanced analytics models to optimize building operations and energy management.

YOU MUST HAVE

• 5+ years of experience in data analytics, preferably within the building automation space or related field.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI) to present findings effectively.
• Knowledge of building and maintaining data models for production usage.

WE VALUE

• Bachelor’s degree in Analytics, Computer Science, or a related field.
• Strong leadership skills and the ability to effectively influence and coach others.
• Experience in master data analytics or related field.
• Knowledge of advanced analytics techniques (e.g., machine learning, predictive modeling).
• Experience with data governance and data quality initiatives.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

THE BUSINESS UNIT

Honeywell Building Automation (BA) is a leading global provider of products, software, solutions, and technologies that enable building owners and occupants to ensure their facilities are safe, energy efficient, sustainable, and productive. BA products and services include advanced software applications for building control and optimization; sensors, switches, control systems, and instruments for energy management; access control; video surveillance; fire products; and installation, maintenance, and upgrades of systems. Revenues in 2022 for BA were $6B and there are approximately 18,000 employees globally. To learn more, please visit click here.

BENEFITS OF WORKING FOR HONEYWELL

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: 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. Job posting date: October 2, 2025