S&OP Analyst optimizing demand, supply, inventory, and production planning for Prollenium, a Canadian dermal filler manufacturer. Developing analytics and KPIs to improve operational performance.
Responsibilities
Gather and analyze data sets to provide operational effectiveness insights
Liaise with Manufacturing, Logistics, Inventory Control, and other departments
Develop management performance analytics, reporting methods, tools, and models
Coordinate and lead cross-functional improvement efforts from planning through execution and sustainability
Build and manage demand, capacity, and supply planning tools and processes
Develop inventory models, service and revenue forecasts, plan optimization, and gap analysis
Create, monitor, and maintain S&OP metrics and KPIs
Consolidate and analyze demand and supply information for operational, tactical, and strategic planning
Use data to improve on-time delivery, lead times, inventory turns, and revenue
Optimize production efficiencies, cycle times, batch sizes, working capital, and shift strategies
Facilitate cross-functional communication supporting new product launches, line extensions, promotions, and discontinuations
Determine target inventory and planning policies for major products
Support Production Scheduling, Materials Planning, Manufacturing, Inventory Planning, Capacity Planning, Transportation Planning, and Distribution Resource Planning
Drive resolution of operational issues and communicate supply and service issues using facts
Maintain system integrity for planning parameters, including safety stock, planning time fence, and lot size
Complete ad hoc reporting, document creation, partner/program tasks, and special projects
Requirements
University degree in any discipline, or college diploma in a relevant discipline
3+ years experience with data analysis and reporting, including sales data, sales performance, commission calculations, and pricing
Experience extracting information from Salesforce and ERP Systems
Experience or knowledge in using Salesforce
Good understanding of compensation plans and programs
Strong analytical and innovative problem-solving skills
Ability to present findings logically and relevantly, verbally and in writing
Good understanding of object-oriented databases and logical relationships
Strong mathematical and statistical skills, including data sets, variance, and hypothesis testing
Strong business modelling and information management skills
Advanced MS Excel knowledge, including VLOOKUP and Pivot Tables
VBA and experience with Microsoft Office Suite, Excel, Access, and PowerPoint
In-depth understanding of data reporting tools and methods
Basic familiarity with SQL and/or Databricks/Snowflake, including reading, writing, and modifying reporting and ad hoc queries (nice to have)
Expert attention to detail and accuracy, including root-cause investigations
Strong time management and ability to meet deadlines
Ability to manage multiple priorities in a fast-paced environment
Ability to use data to support management and stakeholder decision-making
Clear, consistent, and reliable communication
Pricing analysis experience is a plus
Analytical focus and statistical background would be considered an asset
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