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Trulite Glass and Aluminum Solutions is seeking a Data Analytics Intern to support the Business Analytics team. You will collect, clean, and analyze company data, build Tableau reports, and develop ETL processes using SQL and Python under supervision.
This remote internship is aligned with a Master of Science in Business Analytics and involves up to 20 hours per week, with no standard employee benefits, and an emphasis on practical modeling, dashboarding, and data-driven decision making.
This role is not open for submissions from outside staffing agencies
Data Analytics Intern
$30/hr
The Data Analytics Intern supports Trulite’s Business Analytics team by collecting, cleaning, and analyzing company data and turning it into the reports, dashboards, and analysis the business uses to make decisions. Working under the supervision of the Business Analytics Manager, the intern builds and maintains Tableau reports and dashboards, develops ETL processes, automates data preparation and reporting using SQL and Python, and assists with predictive and machine learning models.
This internship is practical training directly related to a Master of Science in Business Analytics, applying the data analysis, statistical modeling, and data visualization skills developed in that program.
This is a fully remote position. The intern must have a reliable internet connection and a quiet workspace, and will be scheduled for up to 20 hours per week on a schedule agreed with the supervisor. The position is not eligible for standard employee benefits except as required by law.
We are an Equal Opportunity Employer. We embrace and encourage our employees' differences in age, color, disability, ethnicity, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other characteristics that make our employees unique.
30/hr
Remote
We are an Equal Opportunity Employer. We embrace and encourage our employees’ differences in age, color, disability, ethnicity, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other characteristics that make our employees unique.