Senior Manager - Optimal Cost - Data Analyst Candidate with minimum 12+ years of experience into data analysis with understanding of statistical methods and strong analytical skills. Experience with database management, programming, statistical modeling and/or business intelligence (SQL, R, Python, JMP, Tableau, etc.). Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics to bring diversity and different perspectives. Industry preference for hiring ? Automobile, Aerospace, Metal & Manufacturing. Candidates must have end to end knowledge Manufacturing Life Cycle. Must be able to explain/understand- Inventory, Production Planning, change in raw material, Cycle of planning the design and Estimates. Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities. Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player. Working closely with technical teams, and other organizations to understand the product and data. Finding and interpreting large data sets to help predict costs. Learning and understanding data resources and knowing when, how, and which to use and which not to use. Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture. Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support. Ensuring data collected, analyzed and presented result in actionable insights for negotiation support. Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations. Understanding high-level business objectives and continually align those objectives to meet needs of the business. Should be flexible for working in any shifts including Night shifts.

Senior Manager - Optimal Cost - Data Analyst Candidate with minimum 12+ years of experience into data analysis with understanding of statistical methods and strong analytical skills. Experience with database management, programming, statistical modeling and/or business intelligence (SQL, R, Python, JMP, Tableau, etc.). Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics to bring diversity and different perspectives. Industry preference for hiring ? Automobile, Aerospace, Metal & Manufacturing. Candidates must have end to end knowledge Manufacturing Life Cycle. Must be able to explain/understand- Inventory, Production Planning, change in raw material, Cycle of planning the design and Estimates. Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities. Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player. Working closely with technical teams, and other organizations to understand the product and data. Finding and interpreting large data sets to help predict costs. Learning and understanding data resources and knowing when, how, and which to use and which not to use. Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture. Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support. Ensuring data collected, analyzed and presented result in actionable insights for negotiation support. Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations. Understanding high-level business objectives and continually align those objectives to meet needs of the business. Should be flexible for working in any shifts including Night shifts.