Hybrid Data Analyst/Engineer for Product Data & Automation

Hollstadt & Associates; Minnesota; Hybrid; USD 79,000 - 87,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Short-term disability

Long-term disability

Paid sick leave

Retirement benefits

Multiple medical plans

Job summary

Hollstadt Consulting is seeking a Data Analyst/Engineer for a hybrid role in Oak Park Heights, MN. You will analyze, model, and visualize Windows product data, build data pipelines, and support engineering, IT, operations, and quality teams.

You’ll develop lightweight digital tools, collaborate across functions, and document data structures and workflows while enhancing data governance and reporting for product data systems.

Qualifications

• Bachelor’s degree in Engineering, Data Science, Computer Science, or related field.
• 2–5 years of experience 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 and data handling abilities.
• Experience with ERP, MES, PLM/PDM, or equivalent product data systems.

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.

Skills

SQL

Python

Power BI

Data analysis

Data engineering

Education

Bachelor's degree in Engineering/Data Science/CS

Tools

ERP systems

MES

PLM/PDM

Job description

Hollstadt Consulting is seeking a Data Analyst/Engineer for a hybrid role in Oak Park Heights, MN. You will analyze, model, and visualize Windows product data, build data pipelines, and support engineering, IT, operations, and quality teams.

You’ll develop lightweight digital tools, collaborate across functions, and document data structures and workflows while enhancing data governance and reporting for product data systems.