We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
We are looking for a Sr. Financial Analyst to support plant leadership by turning operational and financial data into actionable insights that improve profitability and working capital performance. This role partners closely with manufacturing teams in Oshkosh, Wisconsin to strengthen cost visibility, enhance reporting discipline, and guide decision-making with clear analysis. The ideal candidate brings strong analytical judgment, a solid understanding of plant finance, and the ability to communicate performance trends to both finance and operations stakeholders.<br><br>Responsibilities:<br>• Partner with site leadership to identify opportunities that improve manufacturing cost efficiency, cash performance, and overall margin results.<br>• Own the excess and obsolete inventory review process, strengthening analysis methods and helping the business reduce exposure through better visibility and follow-through.<br>• Produce recurring operational and financial reports that track key measures related to safety, quality, delivery, cost, and cash, while highlighting areas needing attention.<br>• Maintain oversight of inventory and fixed asset reporting for the location, supporting data accuracy, reconciliation, and management review.<br>• Build and refine analytical models that explain plant cost behavior, including material and conversion variances, productivity outcomes, and value stream performance.<br>• Translate financial and operating results into concise updates for leadership, helping teams evaluate progress against goals and assess the impact of business decisions.<br>• Investigate performance fluctuations by isolating drivers such as production volume, product mix, inflation, and productivity, and provide insight into percent-of-completion revenue recognition where applicable.<br>• Evaluate spending against budget at the cost center level, identify trends, and explain the primary factors influencing variances.<br>• Contribute to cross-functional improvement initiatives and, when needed, lead projects aimed at strengthening plant operations and financial performance.<br>• Manage month-end close activities for the plant, including preparation of journal entries and submission of results through reporting tools.