Process Improvement Analyst
$40 - $56 per hourInsight Global
Job Description
Job Description
Position: Process Improvement Analyst
Erlanger, KY
Pay Rate: $40-$56 Hourly
Looking to HIRE RIGHT AWAY!!
Must Have (Skills & Qualifications):
- 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
- Microsoft Excel (advanced formulas, pivot tables, data analysis)
- Process mapping tools (e.g., Visio, Lucidchart, Miro)
- 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
- Experience conducting time studies or labor standards development
Day to Day:
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
Vacancy posted 1 day ago
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