As an Advanced Data Analyst here at Honeywell, you will be at the forefront of our organization's data-driven decision-making processes. You will lead a team of highly skilled analysts and collaborate closely with sales, marketing, and executive teams to provide critical insights that optimize sales performance and guide strategic decisions. Your responsibilities will include overseeing advanced data analysis, developing predictive models, and offering strategic recommendations to drive business growth.
In this role, you will impact the optimization of our sales strategies, improve efficiency, and ensure we achieve our business objectives.
Responsibilities- Analyze large datasets using statistical techniques to identify trends, patterns, and insights
- Develop and implement data models and algorithms to support business decisionmaking
- Collaborate with crossfunctional teams to understand business requirements and develop datadriven solutions
- Create data visualizations and reports to communicate findings and recommendations to stakeholders
- Ensure data integrity and accuracy through data cleansing and validation processes
YOU MUST HAVE
- 5+ years of transferrable experience
- Proven track record of success in sales analytics or related roles
- Strong analytical and problem-solving skills
- Proficiency in data analysis tools and techniques
- Ability to lead and inspire a team
WE VALUE
- Bachelor's degree in Business, Statistics, or a related field
- Master’s degree or MBA preferred
- Strategic thinking and business acumen
- Ability to translate data into actionable insights
- Strong leadership and team management skills
- Innovative and eager to learn
#LI-Hybrid
About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.Skills Required
- 5+ years of transferrable experience
- Proven track record of success in sales analytics or related roles
- Strong analytical and problem-solving skills
- Proficiency in data analysis tools and techniques
- Ability to lead and inspire a team
- Bachelor's degree in Business, Statistics, or a related field
- Master's degree or MBA
- Strategic thinking and business acumen
- Ability to translate data into actionable insights
- Strong leadership and team management skills
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
-
Retirement Support — Retirement benefits are anchored by a strong 401(k) match with clear vesting and annual funding mechanics. Plan administration and education resources further reinforce long‑term savings support.
-
Leave & Time Off Breadth — Time away provisions include company holidays, flexible vacation for many exempt roles, and paid sick time. These policies contribute meaningful breadth beyond base pay.
-
Parental & Family Support — Paid parental leave is available to all parents with flexible usage options, and certain family‑building supports are included. Birth mothers can coordinate leave with short‑term disability for extended coverage.
Honeywell Insights
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.








