Industrial Engineer – Process Optimization

Job Description

Industrial Engineer – Process Optimization: To support process improvement initiatives through process mapping, time studies, and data-driven analysis. These roles will work closely with operations and engineering leadership to document current-state processes, identify inefficiencies, and support actionable improvements.

Key Responsibilities: Process Mapping & Documentation

• Develop current-state and future-state process maps using standard methodologies (e.g., SIPOC, swimlane diagrams, value stream mapping)

• Conduct on-site observations to accurately document workflows, task sequences, and process variations

• Identify process bottlenecks, redundancies, and opportunities for standardization Time Studies & Work Measurement

• Perform detailed time studies and work sampling across operational processes

• Analyze cycle times, wait times, utilization, and variability

• Establish labor standards and productivity benchmarks

• Validate findings through repeat observations and data triangulation Data Analysis & Insights

• Collect, clean, and analyze operational data from multiple sources

• Query and extract data from enterprise databases (e.g., SQL, Snowflake, or similar platforms)

• Develop dashboards, reports, and visualizations to communicate findings

• Translate data into actionable insights and recommendations

• Support root cause analysis using statistical and analytical techniques Continuous Improvement Support

• Partner with site leadership to support process improvement initiatives

• Assist in piloting and validating process changes

• Track performance improvements and sustainment metrics

• On average, pay can range anywhere from $40-55/hr based on experience and location

Skills and Requirements

• 2-3+ years of Process Engineering / Industrial Engineering experience

• Systems: Visio- Microsoft Suite-SQL-Snowflake-Tableau/Power BI

• Knowledge of process engineering, operations, or analytics-related roles

• Strong analytical and problem-solving skills

• Track record in process mapping and data analysis

• Proficiency in: o Microsoft Excel (advanced formulas, pivot tables, data analysis) o Process mapping tools (e.g., Visio, Lucidchart, Miro) o Basic to intermediate SQL for data extraction and manipulation

• Ability to work in a fast-paced, operational environment (warehouse, logistics, or manufacturing preferred)

• Familiarity with Lean, Six Sigma, or continuous improvement methodologies

• Experience with data tools such as Snowflake, Power BI, Tableau, Python, or similar analytics platforms

• Exposure to logistics, supply chain, or distribution operations

• Experience conducting time studies or labor standards development

• Bachelor’s degree in Industrial Engineering, Operations, Supply Chain, Data Analytics, or related field

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].