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Manager Data Engineering

BNSF Railway
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KEY RESPONSIBILITIES:

•         Use Power BI data-analytics software to import, clean, analyze, and display complex data sets and data modeling in Excel to find correlations, discrepancies, and trends that influence railroad-track maintenance and planning processes.

•         Use Python, SQL, and MS Azure data-analysis programming languages to analyze and manage railroad engineering data quality.

•         Apply data analytics and railroad safety, track-inspection, and other operating requirements to assess new technologies for track-inspection and maintenance processes and interface with the technology division to align potential implementation with current and future business needs.

•         Perform in-depth analysis of track-geometry data and maintenance history to identify and understand correlations.

•         Support technology development such as Track Health Optical Recognition and Onboard Defect Identification and Notification system.

•         Develop presentations and reports on railroad-track data and innovative technologies for engineering leadership.

 

QUALIFICATIONS:

•         Bachelor’s degree in Data Science, Civil Engineering, or related field.

•         1 year of experience with using data-analytics programming languages such as Python, SQL, or MS Azure to analyze railroad engineering data.

•         Experience with data modeling in Excel.

•         Experience with importing, cleaning, analyzing, and displaying complex data sets using data-analytics software.

•         Experience with analyzing track-geometry data.

•         Experience with railroad safety, track-inspection, and other operating requirements.

•         25% domestic travel to railroad-track locations.