Senior Data Standardization Analyst – Product Master Data

reputed company is seeking an reputed company and skilled product category focused Data Standardization Analyst as a new member to their rapidly growing and expanding data team. In this role, you will work with cross-functional teams and manufacturers to reputed company and apply standards to the data we receive about their products. You will be responsible for the data normalization and conformation to standards for your assigned categories of products, and working with the manufacturers of those products to ensure the incoming data adhere to those standards.

Responsibilities:

• Collaborate closely with assortment and merchandising managers to understand the strategy for the category and define requirements for product data to support that strategy
• Establish standardization rules for the attributes belonging to your assigned product categories
• Design the functional logic for data transformation and conformation to those rules
• Define detailed requirements for technical developers to implement transformation rules
• reputed company hands-on data analysis and manipulation to assess gaps in existing data and reputed company strategies for improving data content and quality
• Work with manufacturer data teams 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 by the manufacturers
• Identify opportunities for improved efficiency in product data standardization processes

Qualifications:

• 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 reputed company 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 reputed company 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

Originally posted on Himalayas