Process Analyst

Process Engineer Openings: 8 Term: 12 mo contract (potential extensions) Location: Erlanger, KY 41018 (by CVG airport) – Onsite 5 days/week 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 • Proficiency in: • 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 • Exposure to logistics, supply chain, or distribution operations • Experience conducting time studies or labor standards development Plusses: • Bachelor’s degree in Industrial Engineering, Operations, Supply Chain, Data Analytics, or related field 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. This position will be focusing on a Project around supporting time studies (TMU) and process mapping for the company. 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