Daikin Comfort Technologies - Data Analyst Intern, application via RippleMatch

This role is with Daikin Comfort Technologies. Daikin Comfort Technologies uses RippleMatch to find top talent.

DATA ANALYST SUMMER INTERN

DAIKIN

Daikin is the world’s #1 indoor comfort provider and a leading innovator and worldwide provider of advanced, high-quality air conditioning and heating solutions for residential, commercial and industrial applications. Located just outside of Houston, Texas, the Daikin Texas Technology Park allows Daikin to consolidate manufacturing, engineering, logistics, marketing and sales for Goodman®, Amana® and Daikin brand unitary heating and air conditioning products in a 4.2 million square foot state-of-the-art manufacturing and business campus. The facility is designed from the ground up to encourage collaboration and innovation.

SUMMER INTERNSHIP

Daikin offers a well-established 11-week summer internship program where students contribute to meaningful projects. We emphasize a culture of mentorship, training, and collaboration, encouraging interns to ask questions, challenge ideas, and think creatively. Interns gain valuable hands-on experience in a thriving industry with strong opportunities for growth and development.

During the internship, college students will:

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  Work on an individual project with your direct team

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  Work with other interns on a group project

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  Network across functions and teams

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  Participate in social and team building activities

JOB REQUIREMENTS

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  Must not require sponsorship now or in the future



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  Graduation Dates: December 2026 - May 2028



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  Be at least 18 years of age

JOB DESCRIPTION

The Data Analyst Intern is responsible for assisting in a variety of projects across the company that promote environmental efficiency. These could include projects ranging from industry analysis to energy use at the Daikin Texas Technology Park. Analysts implement methods to improve data reliability and quality that drive decision-making.

POSITION RESPONSIBILITIES

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  Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

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  Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies

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  Work with stakeholders including the Executive, Manufacturing, Sales and Marketing teams to assist with data-related technical issues and support their data infrastructure needs

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  Develop ways to improve data quality, reliability, and efficiency

Qualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States. The Company provides equal employment opportunity to all employees and applicants regardless of a person’s race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.