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Analyst - Supply Chain Analytics @ Wesco

Pittsburgh, PA, United StatesRemoteFull-timeJob reference 34997
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About this role

This amount is what we reasonably believe we will pay for the position; however, offer amounts may vary based on factors such as geographic location, relevant education, experience, qualifications, skills, shift, or any collective bargaining agreements.

For eligible positions, compensation may include participation in a bonus or sales incentive plan, subject to the terms and conditions of the applicable plan documents. For certain sales roles, Wesco also offers a commission structure that provides additional compensation based on sales results, as defined by the applicable commission plan.

In addition, Wesco offers a benefits program for eligible employees, which may include paid time off, medical, dental, and vision coverage, and retirement savings plans. Additional details about benefits are available here.

As an Analyst - Supply Chain Analytics, your focus will be on translating business needs and requests into data by developing and reporting supply chain analytics related to purchasing, inventory, sourcing, pricing, etc. along with the management of business systems used within supply chain.

Responsibilities:

• Conduct analytical activities of system data. • Conducts data analysis and evaluates intangibles providing management with fact based information. • Responsible for workflow process systems. • Run reporting, including key performance indicators, margins, and other ad-hoc requests. • Comply with all regulatory requirements and ethical standards related to function. • Create and manager item master. • Conduct vendor creation and screening.

Qualifications:

• Bachelor’s Degree - Supply Chain Management required. • 3 years related experience with a proven track record in supply chain value required. • Proven, effective analytical skills. • Exceptional communication skills. • Strong MS Excel, Word, and PowerPoint skills, ability to generate accurate and timely analysis using advanced proficiency in Microsoft Excel. • Strong data mining, aggregation and analytical skills. • Ability to work collaboratively across multiple functions and departments within the organization. • Ability to work effectively under time constraints and multi task. • Motivated self-starter who is organized, efficient and team- oriented.

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