Business Data Analyst

At Oregon Freeze Dry, innovation isn’t just a buzzword, it’s our foundation. We are a purpose-driven company with six decades of expertise in freeze-drying technology. Best known as the makers of Mountain House © meals, we are experts in advanced lyophilization solutions that can help people live healthier lives. Our headquarters in Albany, Oregon sits at the crossroads of science and nature, surrounded by breathtaking landscapes that fuel bold ideas and transformative breakthroughs.

We're driven by a commitment to quality, creativity, and continuous improvement, and we're always looking ahead to what's next. We’re proud of our legacy, but our future is even more exciting. If you're passionate and ready to make an impact, Oregon Freeze Dry isn't just a place to work, it's where your adventure begins.

We are looking for a Business Data Analyst to join our expanding continuous improvement team onsite in Albany, Oregon! The Business Data Analyst ensures the accuracy and integrity of transactional and inventory data within the company’s ERP system, production and quality management systems. This role reviews and corrects data, analyzes trends, and collaborates with cross-functional teams to resolve root causes and improve processes.

By maintaining reliable data, the position supports efficient manufacturing operations and continuous improvement across the supply chain.

• Review and validate ERP transactions to ensure accuracy and alignment with production schedules and inventory balances.
• Review production data and quality checks in the manufacturing system to verify accuracy and compliance with schedules and policies.
• Analyze inventory data to identify variances, recurring errors, and trends affecting data integrity.
• Perform data corrections and reconciliations in the ERP system with proper documentation and internal controls.
• Maintain reports tracking data accuracy, transaction quality, and key performance metrics.
• Collaborate with cross‑functional teams—including manufacturing leaders, training, and quality—to resolve data issues and reduce process‑related errors.
• Support process improvement initiatives to streamline transactions and improve data flow.
• Partner with cross‑functional teams to identify and resolve data integrity issues related to items, BOMs, routings, and locations.
• Provide system training and documentation to promote accurate transactions and standardized practices.
• Lead or support root‑cause analysis using tools like 5‑Whys or Pareto charts to address recurring data issues.
• Collaborate with IT and Systems teams to test and validate ERP configurations or process changes.
• Ensure regular and reliable full‑time attendance.
• Demonstrate professional behavior with internal and external business partners, reflecting positively on the company and aligning with company policies and practices.
• Embody OFD’s cultural values and align daily actions with the department and company culture.

• Generally, a minimum of Two (2) years of experience in Supply Chain Management, Operations, Business Administration, Industrial Engineering or a related field with bachelor’s degree or equivalent experience in manufacturing, supply chain, or materials management
• Hands‑on experience with ERP system (e.g., Infor, SAP, Oracle, Epicor, Net Suite, or similar).
• Hands‑on experience with manufacturing analytics systems (e.g. Redzone, Factory Talk, Domo)
• Proven experience in inventory control, materials planning, data analysis, or process improvement.
• Experience with data reconciliation, root cause analysis, and cross‑department collaboration preferred.
• Familiarity with cGMP, ISO, or other regulated manufacturing environments a plus.
• Strong understanding of MRP system (e.g., Infor, SAP, Oracle, Epicor, or similar) and inventory control principles within a manufacturing environment.
• High attention to detail and data accuracy, with the ability to identify, analyze, and correct transactional or system discrepancies.
• Proficiency in Microsoft Office Suite (especially Excel for data analysis and reporting); experience with data visualization or reporting tools preferred.
• Exce…