SIOP Data Analyst

About the role

The position is responsible for leading reporting and data analysis for key supply chain processes supporting the Sales Inventory and Operations Planning Process (SIOP). The role also serves as a Power BI superuser for data mining and report templates supporting the Supply Chain function across all LRC Divisions.

Responsibilities

• Coordinate and manage the SIOP process across the corporation
• Lead demand analysis for all 3 divisions
• Work with Finance Partners to align financial forecasting with SIOP demand and inventory plans
• Work with Supply Chain and cross-functional peers to deliver SIOP reporting and analysis to the management teams for each division and to the Senior Leadership Team
• Highlight issues and make recommendations to close/mitigate potential gaps identified through the SIOP process
• Achieve plan results for gross margin expansion via Strategic Sourcing initiatives
• Support strategic sourcing team by providing reporting and spend analytics
• Forecast costs through market and macro-economic analysis
• Facilitate data gathering in support of Supply Chain improvement activities and major initiatives
• Strive to improve the SIOP process via structured reviews to identify process gaps and improvement opportunities
• Communicate the demand plan as part of the SIOP process with a holistic approach focused on intercompany interactions
• Organize and analyze relevant data to support the broader supply chain team
• Create templates and reports utilizing Power BI
• Collaborate with all internal parties to understand and pursue issue resolution
• Proactively support systems and process improvement for the SIOP process

Qualifications

• BA or BS Degree in business with Supply Chain focus
• Knowledge and experience with forecasting and demand management processes required
• Power BI and/or other reporting systems experience a plus
• Knowledge of paper industry preferred
• ASCM certified or progress towards professional supply chain and/or purchasing certification a plus

Skills

• ERP knowledge at a transactional and process level
• Data supported problem solving
• Continuous improvement mindset
• Proficient computer skills and knowledge (MS Office suite, e-mail, etc.)

Benefits

None specified

Pay

Not specified

Schedule

Not specified