Senior Data Standardization Analyst – Product Master Data

Wesco • Pittsburgh, PA

1d

About The Position

Wesco is seeking an experienced and skilled Data Standardization Analyst as a
new member of their rapidly growing and expanding data team.  In this role, you
will work with cross-functional teams to develop and apply standards to product
data.

Requirements

• Bachelor’s Degree required/Masters’ Degree preferred- Business, Information Systems, Computer Science or equivalent experience
• 5+ years of experience in a Data Analytics role.
• Strong analytical background.
• Understanding of data, data flows and how data supports various business processes in a supply chain environment.
• Understanding of data quality and data risk management, including understanding of standards, methods, processes, tools, and controls.
• Self-starter with the ability to seek out new problems and develop solutions, while having strong sense of ownership.
• Analytical and data-driven with a knack for driving business decisions through data and analytics.
• Self-sufficient and motivated to obtain the skills or knowledge necessary to accomplish complex tasks.
• Excellent organizational and time management skills with the ability to juggle multiple priorities.
• Ability to conduct root cause analysis and communicate recommendation to resolve, switch quickly between details and the big picture.
• Ability to travel 25-50% of the time

Responsibilities

• Collaborate closely with assortment and merchandising managers to understand the strategy and define requirements for product data to support that strategy
• Establish standardization rules
• Design the functional logic for data transformation and conformation to those rules
• Define detailed requirements for technical developers to implement transformation rules
• Perform hands-on data analysis and manipulation to assess gaps in existing data and develop strategies for improving data content and quality
• Work with stakeholders to communicate our data standards and guide them in conforming their data to those standards
• Create functional definitions for data transformation to our standards for data elements that cannot be conformed
• Identify opportunities for improved efficiency in product data standardization processes

Benefits

• participation in a bonus or sales incentive plan
• paid time off, medical, dental, and vision coverage, and retirement savings plans

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees