Data Strategy & Sourcing Analyst

Role Overview

• Establish and maintain the Single Source of Truth (SSOT) for product catalog data by defining, documenting, and enforcing organizational data standards (e.g., attribute definitions, classification, and naming conventions).
• Integrate consolidated product, vendor, and transactional data to build a comprehensive data model specifically designed to support advanced sourcing analysis, pricing comparisons, and substitution logic.
• Conduct forensic data analysis across disparate systems to identify, prioritize, and resolve data quality issues (duplicates, inaccuracies) that impede effective sourcing, negotiation, and substitution efforts.
• Proactively analyze SSOT data to uncover strategic sourcing and cost-reduction opportunities, focusing on identifying vendor pricing gaps, suboptimal product utilization, and opportunities for vendor rationalization.
• Translate data insights into actionable financial strategies by collaborating with Vendor Operations and Customer Success teams to validate identified opportunities, inform vendor negotiations, and drive successful product substitutions.
• Monitor the financial impact and success metrics of product substitution rates, cost savings achieved, and overall data quality improvement.
• Serve as the data champion and primary liaison between teams on all matters related to product and pricing data integrity and utilization.
• Lead cross-functional working groups to achieve consensus on data definitions, resolve conflicting requirements, and standardize data input and usage across departments.

Requirements

• Bachelor's degree in a related quantitative field.
• 1-2 years of progressive experience in data management, data quality, or a combined role focusing on data consolidation and procurement/supply chain optimization.
• Experience working with Product Information Management (PIM), Master Data Management (MDM), or Enterprise Resource Planning (ERP) systems.
• Expert proficiency in SQL for complex querying, analysis, and joining of product, vendor, and transactional datasets.
• Strong practical experience with data cleansing, transformation tools, and ETL processes used for consolidating data.
• Advanced capability with Business Intelligence (BI) tools (e.g., Tableau, Power BI) to design dashboards that clearly articulate pricing trends, substitution success, and data quality metrics to executive audiences.
• Solid understanding of data modeling, data governance principles, and database design.

Tech Stack

• ERP
• ETL
• SQL
• Tableau

Benefits

• A competitive compensation package including stock options
• Employer-sponsored 401(k) with employer match
• Robust medical, dental, vision, and wellness benefits
• Flexible time off and remote work policies
• Generous leave policies and support for new and current parents