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Business Analytics/Data Analyst
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.<br><br>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. <br><br>What You’ll Be Solving<br><br>Revenue leakage caused by disconnects across quoting, production, shipping, and invoicing<br>Inaccuracies in freight billing and internal invoicing<br>Misalignment between front-end quoting systems and ERP execution.<br>Heavy reliance on manual Excel workarounds instead of scalable processes<br>Missed billing opportunities, including inflation adjustments and unbilled work<br>High variability in order structures, making data matching and reconciliation challenging<br><br><br>Key Responsibilities<br><br>Extract, integrate, and analyze data across operational systems.<br>Build and optimize SQL-based data models to align quoting, production, and billing data<br>Perform data matching and reconciliation<br>Identify and quantify revenue slippage across the Order-to-Cash (OTC) lifecycle<br>Analyze operational and sales data to uncover missed revenue opportunities<br>Develop advanced analytics using Excel and Python to validate findings<br>Partner with stakeholders across Finance, Operations, and IT to translate insights into action<br>Support improvements in data governance, reporting standards, and BI frameworks<br>Contribute to scalable, long-term solutions that eliminate manual workarounds<br><br>Required Experience<br><br>7–15+ years of experience in data analytics, business analysis, or related roles<br>Advanced SQL expertise (required)<br>Strong proficiency in Excel and Python for data analysis and automation<br>Experience working with ERP systems and quoting/order management platforms<br>Proven ability to work with messy, inconsistent datasets and derive actionable insights<br>Experience identifying and quantifying financial or operational leakage<br>Understanding of Order-to-Cash (OTC) processes and downstream impacts<br>Strong problem-solving mindset with the ability to work independently and drive analysis<br><br><br>Preferred (Nice to Have)<br><br>Exposure to AI-driven analytics or automation<br>Experience in manufacturing, custom production, or highly variable environments<br>Background improving data governance, reporting structures, or BI frameworks<br>Strong collaboration skills and willingness to ask questions and challenge assumptions<br><br>If you are interested in learning more about this opportunity, please reach out to Robert Half. <br><br>Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
• 7+ years of experience in data analytics, business analysis, or a similar analytical function.<br>• Advanced capability with Excel and Python for data analysis, validation, and process support.<br>• Strong working knowledge of SQL, business intelligence platforms, and reporting tools such as BusinessObjects Technologies.<br>• Experience with order management, sales quoting, and order-to-cash processes in operational business settings.<br>• Demonstrated success working with incomplete, inconsistent, or highly variable datasets to produce actionable insights.<br>• Ability to identify financial leakage, quantify business impact, and support corrective action through analysis.<br>• Strong communication and collaboration skills with the ability to work independently across cross-functional teams.<br>• Industry experience in manufacturing, printing, publishing, or other customized production environments is preferred.
<p>Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.</p> <p>Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/us/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more.</p> <p>All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information.</p> <p>© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s <a href="https://www.roberthalf.com/us/en/terms">Terms of Use</a> and <a href="https://www.roberthalf.com/us/en/privacy">Privacy Notice</a>.</p>
  • Shakopee, MN
  • onsite
  • Temporary / Contract
  • 85.5 - 99 USD / Hourly
  • 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.<br><br>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. <br><br>What You’ll Be Solving<br><br>Revenue leakage caused by disconnects across quoting, production, shipping, and invoicing<br>Inaccuracies in freight billing and internal invoicing<br>Misalignment between front-end quoting systems and ERP execution.<br>Heavy reliance on manual Excel workarounds instead of scalable processes<br>Missed billing opportunities, including inflation adjustments and unbilled work<br>High variability in order structures, making data matching and reconciliation challenging<br><br><br>Key Responsibilities<br><br>Extract, integrate, and analyze data across operational systems.<br>Build and optimize SQL-based data models to align quoting, production, and billing data<br>Perform data matching and reconciliation<br>Identify and quantify revenue slippage across the Order-to-Cash (OTC) lifecycle<br>Analyze operational and sales data to uncover missed revenue opportunities<br>Develop advanced analytics using Excel and Python to validate findings<br>Partner with stakeholders across Finance, Operations, and IT to translate insights into action<br>Support improvements in data governance, reporting standards, and BI frameworks<br>Contribute to scalable, long-term solutions that eliminate manual workarounds<br><br>Required Experience<br><br>7–15+ years of experience in data analytics, business analysis, or related roles<br>Advanced SQL expertise (required)<br>Strong proficiency in Excel and Python for data analysis and automation<br>Experience working with ERP systems and quoting/order management platforms<br>Proven ability to work with messy, inconsistent datasets and derive actionable insights<br>Experience identifying and quantifying financial or operational leakage<br>Understanding of Order-to-Cash (OTC) processes and downstream impacts<br>Strong problem-solving mindset with the ability to work independently and drive analysis<br><br><br>Preferred (Nice to Have)<br><br>Exposure to AI-driven analytics or automation<br>Experience in manufacturing, custom production, or highly variable environments<br>Background improving data governance, reporting structures, or BI frameworks<br>Strong collaboration skills and willingness to ask questions and challenge assumptions<br><br>If you are interested in learning more about this opportunity, please reach out to Robert Half. <br><br>Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
  • 2026-05-22T00:00:00Z

Business Analytics/Data Analyst Job in Shakopee, MN | Robert Half