We are looking for a Data Analyst to join a non-profit organization in a contract-to-permanent capacity. This position will focus on building and improving data integration processes that support reporting, analytics, and day-to-day business operations. The role is ideal for someone who can turn complex data needs into dependable technical solutions while helping maintain strong data quality, performance, and governance standards.<br><br>Responsibilities:<br>• Develop and support data integration workflows that move information from internal systems, cloud environments, and external applications into centralized reporting platforms.<br>• Create, refine, and maintain scalable data pipelines that deliver accurate and timely datasets for analytics, operational reporting, and business intelligence tools.<br>• Investigate data inconsistencies, resolve processing issues, and establish validation checks to improve reliability and integrity across data assets.<br>• Contribute to data warehouse and data lake efforts by shaping transformation rules, supporting data models, and improving overall processing performance.<br>• Partner with stakeholders to understand reporting and analytical needs, then translate those needs into efficient and sustainable data solutions.<br>• Prepare and maintain clear technical documentation covering data mappings, process logic, workflow design, and integration steps.<br>• Enhance database and query performance while supporting scheduling, automation, and operational stability for recurring data jobs.<br>• Provide dependable data support for visualization and reporting platforms such as Power BI, Tableau, and similar business intelligence tools.<br>• Participate in data migration, application integration, and master data management initiatives as part of broader enterprise data projects.<br>• Help uphold data governance, security, and retention standards across integration and reporting processes.
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 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.