Paul Davis Restoration of Greenville and Spartanburg
Data & Analytics Intern
Paul Davis Restoration of Greenville and Spartanburg, Boston, Massachusetts, us, 02298
This role involves supporting the CBB Strategy and Delivery within Consumer and Digital Transformation through data analytics. The intern will engage in customer insights, data engineering, and predictive modeling to enhance product strategy and growth. Additionally, they will analyze advanced analytics to understand customer behavior across different channels. The work aims to leverage data to inform strategic business decisions and drive transformation initiatives.Required Qualifications and Skills
The role requires candidates to be graduate students with a major in a quantitative discipline, alongside strong performance in relevant coursework. A minimum cumulative GPA of 3.5 is necessary. Candidates should possess excellent communication skills, analytical capabilities, and adaptability to a fast-paced environment. Familiarity with programming languages such as Python, R, or SQL is essential, along with experience using Excel and PowerPoint. The position also demands strong problem-solving skills and the ability to work independently on projects.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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The role requires candidates to be graduate students with a major in a quantitative discipline, alongside strong performance in relevant coursework. A minimum cumulative GPA of 3.5 is necessary. Candidates should possess excellent communication skills, analytical capabilities, and adaptability to a fast-paced environment. Familiarity with programming languages such as Python, R, or SQL is essential, along with experience using Excel and PowerPoint. The position also demands strong problem-solving skills and the ability to work independently on projects.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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