Aftermarket Engineering Data Engineer

At Trane TechnologiesTM and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Job Summary

The Aftermarket Engineering Data Engineer is responsible for developing and automating analytical tools and data process workflows that support aftermarket engineering. The engineering tools enable our engineering teams to improve data analytics, and productivity by streamlining processes. This person will partner directly with our design, engineering, and product support teams, so success in this key person requires collaboration with subject matter experts to translate needed requirements into software tools and data products.

Thrive at work and at home:  

• Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!   
• Family building benefits include fertility coverage and adoption/surrogacy assistance.   
• 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.    
• Paid time off, including in support of volunteer and parental leave needs.      
• Educational and training opportunities through company programs along with tuition assistance and student debt support.    
• Learn more about our benefits here!  
  
  

Where Is The Work

This position has been designated as Remote and work will be performed ________. (TAP to enter locations or time zones as needed) 

What You Will Do

• Primary focus of this position is to support the business growth strategy by executing a broad range of technical activities to present solutions for aftermarket engineering teams.
• Apply critical thinking to translate design, engineering, and product support requirements into supporting tools.
• Continuously improve engineering analytics capabilities through improved workflow efficiency, automation, documentation, and enhancements.
• Develop automation tools to streamline manual processes within and across multiple software systems.
• Data Analysis: Analyzing data to identify trends, prioritize issues, and create meaningful data visualizations that will allow teams to form product or process improvement decisions.
• Troubleshoot and resolve customer issues with data and applications.
• Collaborate with product support to understand and translate customer needs.
• Checks own work and others to ensure accurate and reliable data products.
• Lead projects with cross functional teams to develop and maintain analytic workflows and visualizations.
• Creates data pipelines and data sets with minimal oversight.
• Conducts independent data exploration to assess quality of new data sources.
• Implements monitoring of data sources in production to ensure consistency of data feeding models.
• Participate in Analytics Roadmap development for Aftermarket Engineering.
• Develop data knowledge and capabilities of the organization by serving as a consultant to other functions.
• Ability to understand and develop advanced Data Science workflows delivering Predictive or Prescriptive analytics.
• Ability to combine data from various sources, maintaining consistency and quality throughout the process.
• Ability to analyze and interpret complex data sets
• Documents work and code in appropriate repository.
• Serve as a member on Product Growth Teams (PGT).
  
  

What You Will Bring

• Bachelor’s Degree in Computer Science, Statistics, Data Science, Information Systems, Engineering, or 7 years of relevant work experience in a data and analytics role, preferably for engineering analytics.
• Masters in Computer Science, or Engineering preferred.
• Alteryx or Dataiku certifications required.
• Experience with SQL, Python, R, or similar language is required.
• Experience with the agile methodology and concepts is preferred.
• Experience with Alteryx, Tableau, Dataiku, Oracle Business Intelligence, Informatica, Rapid Miner, or other Analytics tools.
• Experience with Advanced Data Science concepts such as predictive and prescriptive analytics.
• Experience using Artificial Intelligence as a tool.
• Results-oriented individual with emphasis on achieving overall team performance.
• Strong organization, planning and execution skills required, with an attention to detail.
• Self-starter, critical thinker with desire to learn.
• Proven ability to troubleshoot complex technical issues in the field.
• Excellent problem-solving and decision-making skills.
• Strong communication and interpersonal skills to effectively interact with customers and cross-functional teams.
• Works under minimal supervision, requires independent decision making.
• Ability to travel.
  
  

Compensation:   

Base Pay Range: $

Total compensation for this role will include a commission/incentive plan. Disclaimer: This base pay range is based on US national averages. Actual base pay could be a result of seniority, merit, geographic location where the work is performed.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status. 

2501476