Business Analyst

Position: Business Process Improvement Analyst

Erlanger, KY

Pay Rate: $40-$54 Hourly

Looking to HIRE RIGHT AWAY!!

Must Have (Skills & Qualifications):

• 2-3+ years of Process Improvement Engineering or Business Improvement Analyst 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