Remote Product- Data Analyst Job in United States Cornerstone Building Brands

Who you are

• BS / BA in Engineering / Accounting / Finance related field required or have experience in the window industry in Customer Service/Field Service/or Manufacturing
• Strong modelling techniques and analytical skills with demonstrated ability to find solutions without specific step-by-step instructions
• Ability to manage multiple tasks and projects while delivering results in a timely manner
• Entrepreneurial team player, willing and able to work long hours, contribute in multiple ways within the company
• Effectively communicates and engages with all levels of the organization verbally and in writing, with the ability to build effective partnerships across teams
• Experience manipulating complex and large data sources and ability to adapt to new systems and applications quickly
• Experience with ERP software (JDE, Oracle, or OneStream) and/or DB tools (Access / SQL) and Microsoft Office suite (Excel, PowerPoint, Word).

Desirables

• Excel macro skillset
• SQL

What the job involves

• Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance
• Lead the efforts for creation of direct items (parts) during the Genesis analysis and implementation
• Manage the creation of corporate part numbers in appropriate systems and support enrichment for JDE, Cantor and other relevant systems set up.
• Support migration of data - item master data - from legacy systems to new systems
• Implement data governance processes for item master data maintenance
• Support team in item master related needs and requirements
• Collaborate with team members and management on business needs
• Gather information across the organization, analyze it, and prepare data for reporting
• Identify trends, patterns, and potential item data discrepancies
• Maintain item data integrity, quality control and governance of items in appropriate systems and tools
• Innovate and improve upon current processes, data quality standards, and reporting
• Create and maintain documentation for item creation and maintenance
• Perform reconciliation between legacy and newer systems and troubleshoot data inconsistencies and anomalies
• Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data