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In October, 2024 Honeywell announced the spin-off of our Advanced Materials business to become a stand-alone publicly traded company, independent of Honeywell. Our intention is that this role, dedicated to the Advanced Materials business, will be a part of this future transaction when the separation occurs. This position is intended to convey to the new, independent company, to be named Solstice Advanced Materials when the separation occurs. This is expected to occur in late 2025 or early 2026.

At Advanced Materials, we are committed to offering the highest value-add specialty solutions in the advanced materials sector. Our goal is to solve our customers' most complex challenges through a robust and innovative product portfolio and by doing so, deliver exceptional value to our stakeholders. We have identified actionable strategies to grow by expanding into new products and markets and through strategic acquisitions, while keeping our top operating margins. Joining our team means becoming part of an organization which leverages its long-standing reputation to capture growth trends by investing in innovation and manufacturing enhancements and maintaining deep customer relationships. We foster a collaborative and inclusive work environment that values contributions and supports professional development. With a focus on innovation and sustainability, the team is dedicated to delivering value and making a meaningful impact in advancing our customers' success. Let’s make that impact together. This position is intended to convey to the new, independent company, to be named Solstice Advanced Materials when the separation occurs. This is expected to occur in late 2025 or early 2026.

Joining our team means becoming part of an organization which leverages its long-standing reputation to capture growth trends by investing in innovation and manufacturing enhancements and maintaining deep customer relationships.

We foster a collaborative and inclusive work environment that values contributions and supports professional development. With a focus on innovation and sustainability, the team is dedicated to delivering value and making a meaningful impact in advancing our customers' success. Let’s make that impact together.

Advanced Materials is a global supplier of fluorine products, fine chemicals, additives, metals, films and fibers for products including pharmaceuticals, refrigeration, semiconductors and military protection.

Advanced Materials is making the world safer, cleaner and enabling the modernization of a growing middle class by enhancing our customer offerings through a differentiated portfolio of chemistries, materials, value-added solutions and superior customer service. Our mission is to attract, retain and develop diverse and highly motivated, entrepreneurial employees striving to flawlessly deliver superior value to our customers every day.

KEY RESPONSIBILITIES

+ ETL Development & Management: Design, build, optimize, and maintain robust ETL (Extract, Transform, Load) pipelines to efficiently move and transform data from various sources into our data warehouse and data lake. Ensure data quality, integrity, and availability throughout the process.

+ Data Analysis & SQL Expertise: Write complex, performant SQL queries to extract, manipulate, and analyze large datasets from relational databases, data warehouses, and data lakes. Identify trends, patterns, anomalies, and correlations within the data.

+ BI & Reporting: Develop, maintain, and enhance interactive dashboards and reports using BI tools such as Tableau, Power BI, or similar platforms. Translate complex data findings into clear, concise, and visually compelling insights for technical and non-technical stakeholders.

+ Data Architecture Understanding: Work closely with data engineers and architects, leveraging your understanding of data warehouse schemas (e.g., star, snowflake) and data lake structures to access and utilize data effectively. Contribute to discussions on data modeling and architecture improvements.

+ Insight Generation & Communication: Proactively identify business challenges and opportunities through data exploration. Communicate findings, insights, and recommendations clearly and effectively to various audiences, including senior leadership.

+ Collaboration & Mentorship: Collaborate with cross-functional teams (product, engineering, marketing, finance) to understand their data needs and deliver analytical solutions. Potentially mentor junior analysts and share best practices.

+ Documentation: Create and maintain clear documentation for ETL processes, data models, analysis methodologies, and report definitions.

The annual base salary range for this position is $114,000 - $137,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.

YOU MUST HAVE

+ 5+ years of experience in a data analyst, business intelligence engineer, or similar role.

+ Proven, strong proficiency in SQL for complex querying and data manipulation.

+ Demonstrable experience in designing and implementing ETL processes using relevant tools or scripting languages.

+ Hands-on experience creating dashboards and reports using leading BI tools (Tableau and/or Power BI strongly preferred).

+ Experience working with and analyzing time-series data.

+ Solid understanding of data warehousing concepts (e.g., dimensional modeling) and data lake architectures.

WE VALUE

+ Bachelor's degree in Computer Science, Statistics, Economics, Mathematics, Engineering, or a related quantitative field (or equivalent practical experience).

+ Master's degree in a related quantitative field.

+ Experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).

+ Experience with specific ETL tools (e.g., Informatica, Talend, Airflow, dbt).

+ Programming skills for data analysis (e.g., Python, R).

+ Familiarity with statistical analysis techniques.

+ Basic understanding of machine learning concepts and algorithms.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.