Data Strategy & Sourcing Analyst
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Job Description
Data Analyst transforming raw product data into strategic insights for Order.co. Bridging data governance and financial optimization for effective cost savings and revenue opportunities.
Responsibilities:
- 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.
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
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