Master Data Analyst

Stanley Black & Decker, Inc.•Towson, MD

2d•$90,000 - $144,900•Remote

About The Position

As an experienced Master Data Analyst, you’ll be part of our global product master data program team working as remote employee. You’ll get to partner with marketing, ecommerce, brand, product, and IT teams to gather requirements, document projects, identify actions, and coordinate resolution. You will support enhancements to product information data models, mappings, and workflows at global, regional, and market levels, while contributing to an integrated enterprise architecture for new item setup and updates. This role requires strong analytical and organizational skills with a collaborative, detail-oriented approach. You will drive continuous improvement across processes, workflows, integrations, and in-app procedures to help standardize and connect product data across systems. This role supports scalable business growth and directly enables new product development, global marketing, and ecommerce capabilities.

Requirements

Bachelor's degree in Computer Science, Information Technology, Data Analytics, Business, Finance, Data Science, Marketing, or a related field.
Minimum of 5 years of hands-on experience in master data, product management, and/or data management in a global company.
Over 2 years of direct responsibility for platform development and/or data lifecycle management.
Proven experience supporting product data or product development workflows in a complex business environment.
Strong proficiency in Excel for data analysis, validation, reconciliation, and reporting involving large or complex datasets.
Experience documenting business processes, requirements, data definitions, and workflow logic in a clear, structured, and reusable manner (e.g., process maps, workflow diagrams).
Strong understanding of key phases of digital delivery including requirements definition, information architecture, design, development, testing, and user acceptance.
Demonstrated ability to manage multiple concurrent priorities and adapt effectively in a fast-paced, evolving environment.
Experience collaborating with cross-functional stakeholders including business teams and IT.
Ability to draft clear, professional stakeholder communications, including project updates, process guidance, and status summaries.

Nice To Haves

Working knowledge of SQL for querying, validating, and analyzing structured data.
Hands-on experience with Salsify or another enterprise Product Information Management (PIM) platform.
Experience supporting enterprise data import/export processes, including integrations and ETL workflows.
Familiarity with data mapping, taxonomy, metadata, and governance frameworks.
Understanding of ERP systems such as SAP, JDE, or JDA.
Proficiency in PowerPoint for developing clear, professional presentations to communicate analysis, recommendations, or project updates.
Familiarity with project management tools such as Jira, MS Project, or Monday.com.
Advanced Microsoft Excel skills; experienced in MS Office Suite.

Responsibilities

Serve as data owner and gatekeeper of the global product master data set, proactively anticipating and mitigating quality or inconsistency issues.
Review, sanitize, and standardize incoming data sets in preparation for ingestion into the global master data set.
Ensure data completeness by partnering with business team members to fill in missing attributes and record details.
Support data mapping, ETL processes, integrations, reporting, KPI development, and data quality initiatives across systems and workflows.
Lead data analysis, requirements gathering, and documentation efforts across cross-functional teams to support business operations and strategic initiatives.
Partner with business subject matter experts to understand required data formats, conventions, and structures to accurately define products.
Translate complex, ambiguous, or evolving business needs into actionable analytical requirements, data models, process documentation, and operational solutions.
Partner with business, product, IT, and vendor teams to drive alignment, testing, implementation, and continuous improvement.
Collaborate with IT to identify data architecture and technology gaps and provide solutions for process improvement.
Support enhancements to product information data models, mappings, and workflows at global, regional, and market levels.
Drive continuous improvement across processes, workflows, integrations, and in-app procedures to standardize and connect product data across systems.
Support testing, UAT coordination, platform enhancements, and migration initiatives in digital or product data environments.
Engage with the larger team and provide regular updates on data ingestion and project efforts.
Advise on new data intake requirements to meet stakeholder needs and align with communicated priorities within the data domain.
Draft clear, professional stakeholder communications including project updates, process guidance, and status summaries.
Create, maintain, and share documentation, business context, and process knowledge to support stakeholder alignment and team effectiveness.
Ensure project outputs are consistently high-quality deliverables, delivered on time and accurately.