SE Forecasting & Data Integration Specialist (Onsite)

• Bachelor’s degree in engineering, Information Systems, Data Analytics, Business Analytics, Mathematics, Supply Chain, or related quantitative discipline with 5+ years of relevant experience; or an advanced degree in an aforementioned field with 3+ years of relevant experience. Experience to include: experience supporting forecasting, demand planning, business analytics, supply chain planning, logistics operations, or related analytical functions, experience analyzing data, identifying trends, and developing recommendations to support business planning and decision-making, familiarity with SQL, data modeling, database structures, and data analysis concepts, experience utilizing analytical tools such as Excel, Power Query, Power BI, or similar technologies to transform, analyze, and visualize data and strong analytical, problem-solving, and communication skills with the ability to collaborate across cross-functional teams.
• Ability to obtain and maintain Government security clearance. U.S. citizenship is required, as only U.S. citizens are eligible to hold a security clearance.      

• Master’s degree in engineering, Data Analytics, Information Systems, Supply Chain Management, or a related STEM discipline.
• Experience developing forecasting models utilizing historical demand, inventory, repair activity, or operational performance data.
• Experience with Business Intelligence and data visualization tools such as Power BI, Power Query, Qlik, Tableau, or similar platforms.
• Familiarity with ERP platforms such as SAP and their use in forecasting, inventory management, logistics, or supply chain operations.
• Experience utilizing SQL to extract, transform, and analyze large datasets from multiple enterprise systems.
• Experience supporting data integration, reporting, automation, or business process improvement initiatives.
• Experience working in aerospace, defense, sustainment, logistics, fleet management, or other operational planning environments.
• Demonstrated ability to lead cross-functional initiatives and effectively coordinate with stakeholders to achieve business objectives.
• Proficiency in advanced Excel functions and strong working knowledge of Microsoft Office applications, including Word and PowerPoint.

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 
 

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

We are seeking a highly motivated candidate to join the Support Equipment Data Analytics and Transformation (SEDAT) team. In this role, you will serve as the primary focal point for Support Equipment forecasting, demand planning, and data integration initiatives supporting depot and unit-level operations. As a highly visible member of the organization, you will collaborate with internal and external stakeholders to identify, prioritize, and implement business requirements while ensuring alignment with operational objectives, data governance standards, and customer needs.

The selected candidate will be responsible for developing, maintaining, and improving Support Equipment forecasting models used to predict spare part demand, depot requirements, unit-level support needs, and repair and upgrade workloads. This role will lead F119 and F135 spare detail modeling activities, leveraging data analytics, forecasting methodologies, and business intelligence tools to drive data-informed decision making and improve forecasting accuracy.

Additionally, the candidate will support the integration of enterprise systems, data sources, and business processes to improve data quality, reporting capabilities, and operational efficiency across the Support Equipment organization.

This position is ideal for a self-motivated, analytical, and team-oriented professional who thrives in a collaborative environment and is passionate about leveraging technology, systems integration, and advanced analytics to drive operational excellence, business transformation, and continuous improvement.

• →Serve as the primary focal point for Support Equipment forecasting activities, including spares, depot, unit-level, and repair and upgrade demand planning across military engine programs.
• →Develop and maintain forecasting models utilizing historical demand, repair activity, inventory consumption, and operational data to improve forecast accuracy and support business planning.
• →Perform data analysis to identify trends, forecast variances, inventory risks, and opportunities for process improvement; provide actionable recommendations to stakeholders and leadership.
• →Utilize SQL, Excel, Power Query, Power BI, and other analytical tools to extract, transform, model, and analyze data from multiple enterprise systems and data sources.
• →Lead F119 and F135 spare detail modeling activities and support data-driven decision making through forecasting, scenario analysis, and business intelligence solutions.
• →Serve as the primary point of contact for depot tailoring events, coordinating activities between depot personnel, the Joint Program Office (JPO), Support Equipment Engineering, Fleet Management, and business stakeholders.
• →Collaborate with cross-functional teams to define forecasting requirements, improve data quality, and ensure alignment between forecasting processes and operational objectives.
• →Partner with the Systems and Data Integration Manager to transition forecasting and planning processes to modern web-based platforms and analytics solutions.
• →Support system integration and continuous improvement initiatives by validating data, identifying automation opportunities, and enhancing forecasting and reporting capabilities.
• →Present analytical findings, forecasts, and recommendations to leadership and stakeholders to support strategic planning and operational decision making.

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