We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions.<br><br>Responsibilities:<br>• Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders.<br>• Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction.<br>• Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs.<br>• Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities.<br>• Investigate system-related issues through root cause analysis and present recommendations backed by data findings.<br>• Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments.<br>• Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making.<br>• Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
We are looking for an experienced EDI Analyst to support business-critical electronic data interchange operations in Holland, Michigan. This Long-term Contract opportunity is ideal for a senior-level candidate who can work independently, provide technical guidance, and collaborate closely with leadership in an on-site environment. The role focuses on maintaining and improving EDI processes, translating business needs into technical solutions, and helping ensure reliable data exchange across partner and internal systems. Candidates with Microsoft Dynamics 365 exposure and experience in food manufacturing will be viewed favorably.<br><br>Responsibilities:<br>• Lead day-to-day EDI analysis and support activities, serving as a senior technical resource for issue resolution and process improvement.<br>• Partner closely with management and cross-functional teams to define requirements, clarify data exchange needs, and recommend practical technical solutions.<br>• Develop, review, and maintain technical specifications, mapping documentation, and process models to support accurate EDI transactions.<br>• Monitor EDI workflows to identify errors, troubleshoot transaction problems, and drive timely resolution to minimize business disruption.<br>• Support on-site collaboration with stakeholders to assess existing integrations and strengthen the reliability and efficiency of EDI operations.<br>• Contribute expertise to ERP-related EDI work, including coordination with Microsoft Dynamics 365 environments where applicable.<br>• Provide knowledgeable guidance on best practices for electronic data interchange design, testing, implementation, and ongoing support.
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.