Sr. Data Standardization Analyst
Overview
Location: Hybrid arrangement, with office located in Pittsburgh, PA; 100% Remote candidates also considered
Job Type: Full-time
Work Authorization: U.S. Citizen or Green Card
The A.C. Coy Company is currently hiring for a full-time Sr. Data Standardization Analyst role. This individual will work with cross-functional teams and manufacturers to develop and apply standards to the product data they supply. Our ideal candidate will have 5+ years of experience in a Data Analytics role and a strong background in data normalization, data flows, data quality, and data risk management.
Our Client is offering flexible hours and a hybrid or remote work arrangement, as well as an attractive benefits package including health coverage, 401K, and unlimited PTO.
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
- Perform hands-on data analysis and manipulation to assess gaps in existing data and develop 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 Save
- 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
Required:
- Bachelor’s Degree in Business, Information Systems, Computer Science or a related field
- 5+ years of experience in a Data Analytics role, including 2+ years of data standardization
- Strong 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
- Excellent organizational and time management skills with the ability to juggle multiple priorities
- Ability to conduct root cause analysis and communicate recommendations to resolve
- Ability to travel 25-50% of the time
Preferred:
- Master's Degree in Business, Information Systems, Computer Science or a related field
Average salary estimate
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