Hardware Engr II at Honeywell

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

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 Power

Point and Word:

• Strategic mindset with the ability to influence the long-term direction of analytics capabilities

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