Advanced Data Analyst
Apply NowCompany: Honeywell
Location: Phoenix, AZ 85032
Description:
Driving Infinite Possibilities Within A Diversified, Global Organization
As an Advanced Data Analyst here at Honeywell, you will play a crucial role in analyzing and interpreting complex data sets to provide valuable insights and drive data-driven decision-making. Your expertise in data analysis, statistical modeling, and data visualization will contribute to the success of our Aerospace Technologies (AT) business unit. You'll work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement, ultimately helping to shape the future of the aviation industry.
You will report directly to our Data Analytics Manager and you'll work out of our Phoenix, AZ location on a hybrid work schedule.
In this role, you will impact the Aerospace Technologies (AT) business unit by leveraging data to drive operational efficiency, improve product performance, and enhance customer experience. Your work will directly contribute to the success and growth of our business.
KEY RESPONSIBILITIES
Analyze large and complex data sets to identify trends, patterns, and insights
Develop and implement statistical models and algorithms to support data analysis
Create data visualizations and reports to effectively communicate findings to stakeholders
Collaborate with cross-functional teams to identify opportunities for process improvement and optimization
Provide recommendations based on data analysis to drive business decisions
Stay up-to-date with industry trends and emerging technologies in data analysis and visualization
U.S. PERSON REQUIREMENTS
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization
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,
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.
YOU MUST HAVE
Bachelor's degree in Data Science,Statistics, Computer Science, or a related field
3+ years of experience in dataanalysis and statistical modeling
Proficiency in data analysis toolsand programming languages such as Python, R, or SQL
Strong analytical and problem-solvingskills
Excellent communication andpresentation skills
WE VALUE
Master's degree in Data Science,Statistics, or a related field
Experience in the aerospace industryor a similar technical field
Knowledge of machine learningalgorithms and techniques
Familiarity with data visualizationtools such as Tableau or Power BI
Strong attention to detail andability to work with large and complex data sets
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializestechnologies that address some of the world's most critical challenges aroundenergy, safety, security, air travel, productivity, and global urbanization. Weare a leading software-industrial company committed to introducingstate-of-the-art technology solutions to improve efficiency, productivity,sustainability, and safety in high-growth businesses in broad-based, attractiveindustrial end markets. Our products and solutions enable a safer, more comfortable,and more productive world, enhancing the quality of life of people around theglobe.
THE BUSINESS UNIT
Honeywell Aerospace Technologies (AT) products and services are found onvirtually every commercial, defense, and space aircraft in the world. We buildaircraft engines, cockpit and cabin electronics, wireless connectivity systems,mechanical components, and more, and connect many of them via our high-speedWi-Fi offerings. Our solutions create healthier air travel, more fuel-efficientand better-maintained aircraft, more direct and on-time flight arrivals, saferskies and airports, and more comfortable flights, along with severalinnovations and services that reflect exciting and emerging new transportationmethods such as autonomous and supersonic flight. Revenues in 2023 forHoneywell Aerospace Technology were $14B, and there are approximately 21,000employees globally.
Honeywell is an equal opportunity employer. Qualified applicants will beconsidered without regard to age, race, creed, color, national origin,ancestry, marital status, affectional or sexual orientation, gender identity orexpression, disability, nationality, sex, religion, or veteran status.
Additional Information
As an Advanced Data Analyst here at Honeywell, you will play a crucial role in analyzing and interpreting complex data sets to provide valuable insights and drive data-driven decision-making. Your expertise in data analysis, statistical modeling, and data visualization will contribute to the success of our Aerospace Technologies (AT) business unit. You'll work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement, ultimately helping to shape the future of the aviation industry.
You will report directly to our Data Analytics Manager and you'll work out of our Phoenix, AZ location on a hybrid work schedule.
In this role, you will impact the Aerospace Technologies (AT) business unit by leveraging data to drive operational efficiency, improve product performance, and enhance customer experience. Your work will directly contribute to the success and growth of our business.
KEY RESPONSIBILITIES
Analyze large and complex data sets to identify trends, patterns, and insights
Develop and implement statistical models and algorithms to support data analysis
Create data visualizations and reports to effectively communicate findings to stakeholders
Collaborate with cross-functional teams to identify opportunities for process improvement and optimization
Provide recommendations based on data analysis to drive business decisions
Stay up-to-date with industry trends and emerging technologies in data analysis and visualization
U.S. PERSON REQUIREMENTS
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization
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,
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.
YOU MUST HAVE
Bachelor's degree in Data Science,Statistics, Computer Science, or a related field
3+ years of experience in dataanalysis and statistical modeling
Proficiency in data analysis toolsand programming languages such as Python, R, or SQL
Strong analytical and problem-solvingskills
Excellent communication andpresentation skills
WE VALUE
Master's degree in Data Science,Statistics, or a related field
Experience in the aerospace industryor a similar technical field
Knowledge of machine learningalgorithms and techniques
Familiarity with data visualizationtools such as Tableau or Power BI
Strong attention to detail andability to work with large and complex data sets
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializestechnologies that address some of the world's most critical challenges aroundenergy, safety, security, air travel, productivity, and global urbanization. Weare a leading software-industrial company committed to introducingstate-of-the-art technology solutions to improve efficiency, productivity,sustainability, and safety in high-growth businesses in broad-based, attractiveindustrial end markets. Our products and solutions enable a safer, more comfortable,and more productive world, enhancing the quality of life of people around theglobe.
THE BUSINESS UNIT
Honeywell Aerospace Technologies (AT) products and services are found onvirtually every commercial, defense, and space aircraft in the world. We buildaircraft engines, cockpit and cabin electronics, wireless connectivity systems,mechanical components, and more, and connect many of them via our high-speedWi-Fi offerings. Our solutions create healthier air travel, more fuel-efficientand better-maintained aircraft, more direct and on-time flight arrivals, saferskies and airports, and more comfortable flights, along with severalinnovations and services that reflect exciting and emerging new transportationmethods such as autonomous and supersonic flight. Revenues in 2023 forHoneywell Aerospace Technology were $14B, and there are approximately 21,000employees globally.
Honeywell is an equal opportunity employer. Qualified applicants will beconsidered without regard to age, race, creed, color, national origin,ancestry, marital status, affectional or sexual orientation, gender identity orexpression, disability, nationality, sex, religion, or veteran status.
Additional Information
- Category: Data & Analytics
- Location: 1944 E Sky Harbor Circle, Phoenix, AZ 85034 USA
- Exempt
- Due to US export control laws, must be a US citizen, permanent resident or have protected status.