Lead Analyst, Data - Bloomington, CA

JOB DUTIES: Collect, clean, and organize data, analyze results and develop recurrent and ad hoc reporting. Acquire data from varied internal and external sources. Identify, analyze and interpret trends or patterns in complex data sets. Troubleshoot, optimize and audit existing reporting to maintain reporting integrity. Provide data visualizations and reporting to convey complex analysis in a digestible fashion. Understand operational challenges and derive/collect data needed to provide insight to leadership. Provide actionable reporting to drive operational functions. Maintain tools and environments used by the analytics team. Develop statistical models to forecast demand, optimize inventory, and improve operational efficiency. Develop applications to query databases, collect information, visualize data, and provide search functionality for operations teams. Apply regression analysis, time series analysis, and other statistical techniques to identify patterns, trends, and anomalies in, Scope: Provide Support to all sites in Consumer Division of the company with engineering solutions, data analytics, reports, dashboards, and system tools & application.

Do you have experience in VBA?, Do you have a Bachelor’s degree?, data. Engage with cross-functional teams, including operations, finance, engineering, and maintenance, to understand their data needs and develop analytical solutions to address business challenges. Work closely with industrial engineers to implement Lean methodologies and drive continuous improvement efforts. Implement Lean initiatives to reduce lead times, eliminate bottlenecks, and improve overall operational flow. Identify opportunities for automation and process standardization to improve efficiency and reduce errors. Eligible for telecommuting from home within reasonable commuting distance from Bloomington, CA. Will require physical presence at worksite in Bloomington, CA at least several days a week. REQUIREMENTS: Bachelor’s Degree in Data Analytics or closely related field. Experience must include Data modeling knowledge. Experience must also include two (2) years of post-bachelor’s progressive experience in all of the following:

• SQL (Structured Query Language)

• VBA (Visual Basic for Application) programming

• Power BI or Qlik Sense

• Python Language

• Advanced Microsoft Excel

• Microsoft Access

• Data Mining, Data Analysis, Data Visualization

• ERP/SAP system

• Lean / Six Sigma methodology

• Logistics and Warehousing