Data Analyst/Engineer

Role: Data Analyst/Engineer Location: Hybrid in Oak Park Heights, MN Rate: $57-63/hour W2 DESCRIPTION This product data analyst/developer role supports the development, maintenance, and improvement of fenestration product data and related digital systems. This role blends hands-on data analysis, digital tool development, and cross-functional collaboration to improve data quality, streamline processes, and enable better decision-making across engineering, IT, operations, and quality. The role focuses on executing data engineering tasks, supporting system enhancements, developing lightweight digital tools, and helping teams use accurate and well-structured product data. PRIMARY RESPONSIBILITIES Data Analysis & Data Engineering • Prepare, analyze, and visualize Windows product data to support engineering, operations, and business teams. • Build and maintain data pipelines, queries, and datasets that support reporting and product information workflows. • Evaluate data quality issues, conduct root-cause analysis, and support corrective actions. • Translate product or process requirements into structured data models and usable datasets. Digital Tool & Solution Development • Develop lightweight applications, scripts, or automations that improve data accuracy, efficiency, or usability. • Support enhancements to product information databases and related systems (PLM, ERP, MES, etc.). • Work with IT and engineering to test, validate, and deploy new features or system improvements. • Document processes, workflows, and tool usage for internal teams. Cross-Functional Support • Partner with engineering, IT, manufacturing, and operations teams to understand their data needs and provide analysis or solutions. • Assist in maintaining consistent product data across systems and processes. • Participate in small to medium initiatives that enhance digital workflows or data governance. • Communicate technical findings and recommendations in clear, concise formats suitable for mixed technical audiences. Technical Problem-Solving • Investigate data discrepancies, system issues, and process bottlenecks; propose practical solutions. • Support testing of new data structures, updates, or integrations when system changes occur. • Identify opportunities for automation or simplification in data-heavy workflows. Reporting & Documentation • Prepare data summaries, reports, dashboards, and visualizations. • Create clear documentation for datasets, scripts, system configurations, or training guides. • Communicate progress, risks, and data trends to stakeholders. QUALIFICATIONS & SKILLS Must‑Have • Bachelor’s degree in Engineering, Data Science, Computer Science, or a related technical field. • 2–5 years of experience working with technical product data, manufacturing data, or enterprise systems. • Experience with data analysis and data engineering (e.g., SQL, Python, Power BI). • Ability to translate technical concepts between engineering and IT teams. • Strong problem-solving abilities and comfort working with complex datasets. • Experience with ERP, MES, PLM/PDM, or equivalent product data systems. Nice‑to‑Have • Familiarity with Windows products, manufacturing processes, design data, or quality systems. • Experience building small applications, automations, or scripts. • Understanding of system integrations, data governance, or process mapping. • Exposure to change management or user training. • Experience supporting cross-functional engineering or IT initiatives.