LK Packaging · 19 hours ago
Commercial Analyst
Maximize your interview chances
Insider Connection @LK Packaging
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Develop processes and methodologies to streamline and simplify internal and external pricing inquiries.
Coordinate analysis & responses to quoting opportunities at strategic accounts.
Consult with the Products, Sales, Marketing, and Purchasing teams to ensure pricing levels, practices and tools are consistent with business and competitive needs.
Collaborate on maintenance & tracking of end user specific rebates & channel incentives.
Develop deep expertise in LK’s product and service offerings; work with sales and channel partners to help customers optimize the value of their spend by aligning them with the right products and services for their needs.
Coordinate ongoing collection of competitive & market data.
Support sales performance reporting and data collection / consolidation for budgeting processes.
Perform trend analyses, modeling and what-if scenarios to help support ongoing operations.
Assist and maintain documentation on processes, policies and pricing application configuration.
Other duties as assigned.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
4-year degree in Data or Business Analytics, Economics, Business, Finance, or related fields.
Preferably 5+ years of experience working in fields such as pricing, sales support, sales enablement, commercial BI / data analytics, or corporate financial planning & analysis
Strong communication skills, creative energy, and a positive attitude.
High attention to detail and accuracy.
Self-motivated with demonstrated ability to work independently, strong project management skills.
Deep expertise in MS Excel and PowerPoint.
Experience with BI tools such as Tableau, Wave Analytics, Cognos BI, SAP Business Objects or similar tools.
Preferred
Strong understanding of relational data bases and Structured Query Language (SQL).
Academic coursework in accounting and statistics / probability.
Prior Coding experience in Python or Visual Basic.
Experience with supply chain planning & Enterprise Resource Planning (ERP) systems is a plus.
Experience in Continuous Improvement is preferred.
Benefits
Quarterly bonus based on company performance