CNH Industrial Supply Chain Analytics Specialist/Data Scientist in New Holland, Pennsylvania
Through its people and brands, CNH Industrial delivers power, technology and innovation to farmers, builders and drivers all around the world. Each of its brands, including Case IH, New Holland Agriculture, Case and New Holland Construction, FPT Industrial, Capital, and Aftermarket Solutions, is a major international force in its specific sector.
At New Holland Agriculture, the Supply Chain Analytics Specialist is responsible for the development of sales and operations plan, which drives key elements for New Holland brand financial and market share targets. In addition, the position is responsible for order management, forecast and supply chain process improvement, which has a direct impact on the day-to-day business process and relationship with New Holland dealers, suppliers and service providers. Liaising with information and communication system and New Holland Sales Organization, the Supply Chain Analytics Specialist ensures proper priority and delivery of prediction models, dashboards and process change based on continuous improvement.
Develop retail, wholesale, company and dealer inventory plans and production requirements for assigned plants/vendors by model and planning key aligned to region market share and financial targets, based on production planning and inventory control concepts acquired in graduate school
Interface with marketing to ensure alignment with brand financial plan, product launch timelines, and order writing programs.
Manage all aspects of dealer order life cycle using SAP, including manufacturing production allocation, meeting required delivery dates, order priorities within industrial constraints, order configuration changes, drive resolution of credit issues, etc.
Manage development of Sales & Operations plan, and related production schedule to ensure mitigation of risks, and execution of wholesale objectives, volumetrically and financially.
Design and implement sales performance analytics using data visualizations software, creating strategic plans with priorities by product, share and gross margin optimization.
Create order cycle dashboards to proactively analyze forecast models at various levels and scenarios (operational, tactical and executive) identifying and proposing solutions on potential issues related to operational/financial plan.
Design and implement machine learning prediction models using R, Python and Microsoft Azure software, focused on product mix and coverage, to make industry recommendations based on market intelligence.
Managing data stored in relational databases on the central data lake of the organization, performing ETL processes to use this data for building various visualizations on Qlik Sense.
Provide customer support to key stakeholders in order life cycle, including dealer, dealer sales support, New Holland sales and marketing.
The qualified candidate will have:
Bachelor’s degree in Industrial Engineering or Supply Chain and Information Systems. MBA/Master’s degree highly preferred
Minimum of 2 years of experience in industrial engineering or supply chain and information systems, including forecasting models, data mining, analytics, and operations optimization with demonstrated experience in "R" and Python, including development, use of forecasting and prediction models.
The ideal candidate will have:
Proven knowledge with Microsoft Office suite specifically Excel Solver and VBA.
Proficiency with “R” and Python for machine learning and forecast models.
Change management, customer advocacy, and enablement is at the forefront of your strategy and delivery.
Self-starter with a problem-solver mindset and proven track record performing well in a fast-paced dynamic environment with tight deadlines and changing priorities; ability to be flexible and resilient.
Demonstrated analytical skills and ability to develop customer and market insights.
Proven experience effectively delivering impactful projects in fast-moving environment with ability to influence at all levels and work effectively across functions and geographies.
Previous experience on Microsoft Azure, on machine learning projects
CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "EEO is the Law" poster and its supplement here.
CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.
If you need reasonable accommodation with the application process, please call 1-800-889-4422 option 1 and then option 5, or contact us at firstname.lastname@example.org.
Read about our company’s commitment to pay transparency by clicking this link: pay transparency notice.
Requisition ID: 2021-16312
External Company URL: www.CNHindustrial.com