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Data Science & Analytics
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2601864 Requisition #
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478 Total Views
At Trane Technologies™ 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.

What’s in it for you:   

Be a part of our mission!  A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Across our brands—including BrainBox AI, Nuvolo, Thermo King, Trane, and more—our teams combine deep technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet.  

We invest in tomorrow’s possibilities—and in our people—by providing ongoing learning, mentorship, and opportunities to work with industry-leading technology. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world

The Universal Test Senior Data Analyst Intern is responsible to support productivity and quality goals from insights gained by analyzing Universal Test and warranty data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve our quality experience.

Where is the work:  From Monday to Thursday, work onsite with your colleagues. On Fridays, choose your work location, balancing what your work requires  

Responsibilities

  • Mine and analyze data from company databases to drive optimization and improvement of product development, service and business strategies.

  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.

  • Develop custom data models and algorithms to apply to data sets.

  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications for Data Analyst Intern

  • Strong communication skills to convey data into information through multiple methods and paretos.

  • Experience using statistical computer languages to manipulate data and draw insights from large data sets.

  • Excellent written and verbal communication skills.

  • Experience visualizing/presenting data for stakeholders using in a simple to understand format.

 

Minimum Qualifications

  • Degree in process for data analytics

  • Proficient with Microsoft Office products

Compensation:  $20 - 28/HR. 

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.  

Equal Employment Opportunity:    
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.  

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