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Data Analyst​/Engineer

Job in Woodbury, Washington County, Minnesota, USA
Listing for: Hollstadt & Associates
Full Time position
Listed on 2026-08-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, IT Business Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 57 - 63 USD Hourly USD 57.00 63.00 HOUR
Job Description & How to Apply Below

Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you'll work with a refreshingly real company led and staffed by seasoned experts who are also down-to-earth, good people. We're committed to treating you with respect and helping you achieve your career aspirations.

Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.

Job Description

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.

Hollstadt offers medical,…

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