Hardware Engr II

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