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
Qualifications
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

Honeywell Technologies is a integral, 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, solut

📌 Advanced Data Analyst (México)
🏢 Honeywell
📍 México