TTX Company | Hiring | Data Analytics Contractor Internship | United States | BigDataKB.com | 2022-09-27

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Job Location: United States

Data Analytics Contractor Internship

Provide data analytics and modeling to support Engineering, Operations, Quality and Maintenance Planning teams.

Duration: one to two years, part-time ~20 hours/week during the school year and possibly more hours when school is not in session

Responsibilities:

Data Engineering / Automation

  • Partner with IT and other subject matter experts to develop foundational, robust, high quality, integrated data sets to be used for visualization and advanced analytics
  • Continuous improvement and automation of manual or recurring analytical requests or dashboards
  • Leverage available tools (i.e. SAS, Python, SQL) to streamline and automate processes
  • Training and support to enable self-service analytics for internal customers

Data Science/ Advanced Analytics

  • Leverage advanced analytics and simulation models to evaluate railcar asset health and effectiveness of maintenance programs, such as condition-based maintenance (CBM)
  • Plan repair requirements at the system level by identifying the distribution of inspected and repaired components to support maintenance strategies
  • Develop data models to assist with long-term repair capacity and production planning decisions

Descriptive Analytics/Data Visualization

  • Evaluate component performance leveraging metrics such as failure rate and cost per mile
  • Develop and maintain a suite of operational metrics to support repair operations in the field
  • Create and maintain Tableau dashboard metrics to support the Engineering team
  • Enhance and further develop existing Tableau dashboards and metrics

Reliability Analytics

  • Provide statistical and financial analysis to evaluate the performance of railcar components to support Engineering, planning, and supplier decisions
  • Support Engineering with data analysis by evaluating the performance of new designs or new manufacturers of components applied to TTX railcars
  • Publish component reliability reports as part of TTX’s annual supplier evaluation process
  • Calculate life cycle cost and generate life curves (survival curves and Weibull distributions)

Qualifications

  • Major(s): Decision Sciences, Analytics, Computer Science, Statistics, Engineering or related majors
  • Year in school: First year, graduate students preferred. Senior undergraduates continuing their education will also be considered.
  • Software: SQL, SAS, Python, Tableau, and Advanced Excel skills (VBA, Macros, Power Query)

Desired Qualities

  • Strong technical and analytical skills
  • Highly skilled in data wrangling and troubleshooting problems
  • Ability to tackle complex data integration challenges (multiple sources, large volume)
  • Customer service perspective and desire to provide accurate, reliable analyses

Apply Here

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