As a Hardware Engineer II at Honeywell, you will play a critical role in delivering data-driven insights across global markets, cost structures, and manufacturing ecosystems. This role blends advanced data analytics, statistical modeling, and economic intelligence to support strategic sourcing, manufacturing, and enterprise decision-making.
You will partner closely with business leaders, sourcing teams, and cross-functional stakeholders to translate complex strategic and operational challenges into impactful analytical solutions. In addition to leading high-impact analytics initiatives, you will contribute to the methodological maturity and strategic direction of the Data Analytics organization
Key Responsibilities
Advanced Analytics & Modeling
- Design, develop, and deploy advanced analytical, statistical, and machine learning models to solve complex business problems
- Lead end-to-end analytics initiatives, from problem framing and data exploration through insight delivery and executive communication
- Apply strong analytical and problem-solving skills to address ambiguous, multi-variable data challenges
Market, Economic & Cost Analysis
- Analyze global economic indicators, raw material markets, and supply chain trends impacting sourcing and manufacturing decisions
- Monitor pricing models, cost drivers, and commodity dynamics across key materials and processes
- Perform cost analysis and should-cost modeling for mechanical parts and systems
- Develop cost forecasts and support strategic sourcing and supplier negotiations
- Maintain and enhance databases for raw materials, alloys, machinery, manufacturing processes, and labor costs
Manufacturing & Domain Expertise
- Apply hands-on knowledge of stamping, fabrication, machining, and injection molding processes
- Leverage understanding of shop-floor operations and labor skill structures to improve cost accuracy and analytical relevance
- Connect end-to-end insights from raw material sourcing to final product delivery
Data Enablement & Continuous Improvement
- Apply analytical and statistical techniques to drive process improvements in data compilation, reporting, and insight generation
- Contribute to the continuous improvement of analytics methodologies, tools, and best practices
- Support enterprise-wide data initiatives aligned with business and strategic objectives
Leadership & Collaboration
- Collaborate with leadership and cross-functional teams to align analytics outputs with business priorities
- Provide technical leadership and mentorship to junior analysts and data scientists
- Influence the strategic vision of the Data Analytics team by identifying and driving high-impact opportunities
- Utilize SAP/ERP and PLM systems to ensure data integrity and decision support
Qualifications
Must-Have Requirements
- 5+ years of experience in data analytics, market research, cost analysis, or global economics
- Proven experience leading complex, high-impact analytics projects
- Strong expertise in data analysis, statistical modeling, and advanced analytical techniques
- Deep understanding of raw materials, alloys, pricing strategies, manufacturing processes, and supply chains
- Strong project management, organizational, and stakeholder management skills
- Demonstrated ability to lead, mentor, and develop junior analysts
Preferred Qualifications
- Bachelor’s or advanced degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related field
- Experience owning and driving large-scale or enterprise-level analytics initiatives
- Proficiency in Python and/or R; SQL and Power BI experience is a strong advantage
- Advanced proficiency in Microsoft Excel; working knowledge of PowerPoint and Word
- Strategic mindset with the ability to influence the long-term direction of analytics capabilities