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We are seeking a highly analytical, hands-on Data Analyst to support a business operating in a highly customized, non-standard environment. Every order, workflow, and dataset is unique creating complexity across quoting, production, shipping, and billing. This role is not just about analyzing data, you will play a critical role in identifying where revenue is leaking, quantifying the impact, and helping fix the underlying process issues driving it. This is a 6-9 month project opportunity with the potential to extend. This project required 4 days on site.
Job Responsibility
Extract, integrate, and analyze data across operational systems
Build and optimize SQL-based data models to align quoting, production, and billing data
Perform data matching and reconciliation
Identify and quantify revenue slippage across the Order-to-Cash (OTC) lifecycle
Analyze operational and sales data to uncover missed revenue opportunities
Develop advanced analytics using Excel and Python to validate findings
Partner with stakeholders across Finance, Operations, and IT to translate insights into action
Support improvements in data governance, reporting standards, and BI frameworks
Contribute to scalable, long-term solutions that eliminate manual workarounds
Requirements
7–15+ years of experience in data analytics, business analysis, or related roles
Advanced SQL expertise (required)
Strong proficiency in Excel and Python for data analysis and automation
Experience working with ERP systems and quoting/order management platforms
Proven ability to work with messy, inconsistent datasets and derive actionable insights
Experience identifying and quantifying financial or operational leakage
Understanding of Order-to-Cash (OTC) processes and downstream impacts
Strong problem-solving mindset with the ability to work independently and drive analysis
Nice to have
Exposure to AI-driven analytics or automation
Experience in manufacturing, custom production, or highly variable environments
Background improving data governance, reporting structures, or BI frameworks
Strong collaboration skills and willingness to ask questions and challenge assumptions