Lead Analyst, Data - Bloomington, CA

GXO Logistics

1d•Hybrid

About The Position

GXO Warehouse Company, Inc. is seeking a Lead Analyst, Data for their Bloomington, California location. This role involves collecting, cleaning, and organizing data from various internal and external sources. The analyst will analyze complex data sets to identify trends and patterns, develop recurrent and ad hoc reports, and create data visualizations to communicate findings effectively. Responsibilities include troubleshooting and auditing existing reporting, understanding operational challenges to provide insights to leadership, and developing actionable reporting to drive operational functions. The role also entails maintaining analytics team tools and environments, developing statistical models for forecasting and optimization, and creating applications for data querying, visualization, and search functionality. The analyst will apply statistical techniques such as regression analysis and time series analysis. Collaboration with cross-functional teams, including operations, finance, engineering, and maintenance, is crucial to understand data needs and develop analytical solutions. The position also involves working closely with industrial engineers to implement Lean methodologies, drive continuous improvement, reduce lead times, eliminate bottlenecks, and improve operational flow. Identifying opportunities for automation and process standardization is also a key aspect of the role. This position is eligible for telecommuting from home within a reasonable commuting distance from Bloomington, CA, but will require physical presence at the worksite at least several days a week.

Requirements

Bachelor’s Degree in Data Analytics or closely related field.
Data modeling knowledge.
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

Responsibilities

Collect, clean, and organize data.
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 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.