Master Data Analyst

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, AWS

Job Description

Responsible for establishing product master data management capabilities to include the development of data standards, reports, monthly audit meetings with each function, business process improvement and monthly data governance meetings.

This role will support master data management, data quality and data governance program initiatives, with responsibility for participating and leading efforts in gathering requirements, data cleansing and business process simplification for several data domains.

SPECIFIC REPONSIBILITIES

• Partner with data owners to develop data standards for critical data attributes.
• Evaluate product data with reference to data standards to identify data defects.
• Develop leading KPIs that proactively prevent product master data from causing customer issues.
• Partner with data owners on a monthly basis to distribute monthly data quality reports, audit the health of the data and drive data clean-up where product data is not in compliance with data standard.
• Develop capability to systematically compare product data across systems and identify discrepancies.
• Engage with business owners (functions) who own data on the product to create cross-business processes for creating, changing, and discontinuing products in a way that keeps the product data in-sync across all applicable ERP systems.
• Contribute to value stream mapping sessions across relevant ERP systems to identify process gaps that lead to customer order issues or rework.
• Support monthly data governance meetings to report on data health, discuss process gaps, status of process improvement opportunities, decide on proposed changes to process or data ownership, escalate issues or requests for support from other functions to leadership as needed.
• Develop service level agreements with business data owners that determine auditing frequency, turn-around-time, data correction across businesses and systems.
• Contribute to Kaizens, Just Do It, Root Cause Counter Measures to close process and data gaps across businesses and systems.
• Support Daily Accountability mechanisms that drive visibility to issues, causes and corrective actions with appropriate escalations (e.g. Tier Boards) that are inputs into existing mechanisms with leaders (e.g. Ops Leader)

QUALIFICATIONS

• BS degree in business, systems, or data science
• 3-5 years’ experience in Master Data management, Data quality and Data Governance.
• Experience in a manufacturing or supply chain environment preferred.
• Experience in data definition and, business rules creation.
• Possess high levels of data accuracy and attention to detail
• Strong analytical skills, combined with practical business knowledge
• Strong verbal and written communication skills
• Ability to build relationships across various functional disciplines.
• Proficient in MS Office, Outlook, Excel (V-Lookup, Pivot Tables, Formulas, Charts)
• Possess strong applied technical knowledge of Word, Access, and Project
• Familiar with master data structures and ERP systems
• Familiar with principles of product lifecycle management
• Knowledgeable about Key Performance Indicators, business process improvement