Product- Data Analyst

Skills

Data AnalysisEnterprise Resource PlanningJDE Enterprise OneMicrosoft AccessMicrosoft ExcelMicrosoft Excel MacrosProduct Service

Role

What the job involves

The main requirements, responsibilities and hiring steps.

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).

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