Data Strategy & Sourcing Analyst

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $90k - $110k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🛒 Procurement

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Order.co

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

💳 Fintech

🤝 B2B

💰 $30M Series B - Order on 2022-01

SaaS • Fintech • B2B

Order. co is an AI-powered procurement and finance platform that streamlines purchasing, accounts payable, spend management, and working capital for businesses. The SaaS product automates the full procurement lifecycle—from requisition to payment—offers virtual vendor-locked cards, AP automation, automated reconciliation, and AI-driven sourcing and catalog management to reduce costs and manual work. It integrates with accounting systems (QuickBooks, NetSuite, Sage Intacct), Workday, and SSO providers, targeting finance and procurement teams at growing companies and enterprises seeking tighter spend control, compliance, and efficiency.

📋 Description

• 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