Data & Analytics Intern

Position Summary We are seeking a detail-oriented and analytical Data & Analytics Intern to join our Information Technology team. You will gain hands-on experience supporting key business functions: accounting, finance, human resources, sales, and marketing. You’ll learn to collect, clean, analyze, and visualize data to drive business decisions, while developing modern analytics skills in a collaborative, mentorship-focused environment. Position Essential Duties and Responsibilities Collect, clean, and organize data from multiple business systems and sources Perform exploratory data analysis to identify trends, patterns, and anomalies Build dashboards and reports using Excel, Power BI, or Tableau Assist in developing and maintaining data pipelines for business analytics Prepare presentations and insights for stakeholders across business units Ensure data accuracy and integrity throughout all analysis Collaborate with IT and business teams to support cross-functional projects Participate in regular check-ins, mentorship sessions, and project reviews as part of the LEAD program Position Qualifications Currently pursuing a degree in Data Science, Statistics, Computer Science, Business Analytics, or related field Strong analytical and problem-solving skills Proficiency in Excel and basic knowledge of SQL Familiarity with data visualization tools (Power BI, Tableau) is a plus Basic understanding of Python or R for data analysis is desirable Excellent communication and teamwork skills Interest in applying analytics to business functions (accounting, finance, HR, sales, marketing) Eager to learn, take initiative, and contribute to a diverse team Nice to Have: Experience or coursework in data modeling (e.g., relational, dimensional, or semantic models) Exposure to machine learning concepts or tools Interest or experience in artificial intelligence (AI) applications for business analytics Ability to apply predictive analytics or build simple models to solve business problems Duration & Schedule Internship period: Summer - June 1, 2026 – August 31, 2026 (10-12 weeks, Flexible) Expected hours per week: 36 hours Hourly pay range $26.00 - $31.00. Collect, clean, and organize data from multiple business systems and sources Perform exploratory data analysis to identify trends, patterns, and anomalies Build dashboards and reports using Excel, Power BI, or Tableau Assist in developing and maintaining data pipelines for business analytics Prepare presentations and insights for stakeholders across business units Ensure data accuracy and integrity throughout all analysis Collaborate with IT and business teams to support cross-functional projects Participate in regular check-ins, mentorship sessions, and project reviews as part of the LEAD program Currently pursuing a degree in Data Science, Statistics, Computer Science, Business Analytics, or related field Strong analytical and problem-solving skills Proficiency in Excel and basic knowledge of SQL Familiarity with data visualization tools (Power BI, Tableau) is a plus Basic understanding of Python or R for data analysis is desirable Excellent communication and teamwork skills Interest in applying analytics to business functions (accounting, finance, HR, sales, marketing) Eager to learn, take initiative, and contribute to a diverse team Nice to Have: Experience or coursework in data modeling (e.g., relational, dimensional, or semantic models) Exposure to machine learning concepts or tools Interest or experience in artificial intelligence (AI) applications for business analytics Ability to apply predictive analytics or build simple models to solve business problems Duration & Schedule Internship period: Summer - June 1, 2026 - August 31, 2026 (10-12 weeks, Flexible) Expected hours per week: 36 hours Hourly pay range $26.00 - $31.00.