Business Intelligence & Data Analytics Intern

Position Summary

This role is not eligible for immigration sponsorship

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems.

For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States-investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we're creating smarter, sustainable and more connected experiences that empower people to live better.

SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit Samsung.com. For the latest news, visit news.samsung.com/us.

The Care - MX, Strategic Planning team at Samsung Electronics America is dedicated to delivering America's best customer service, operational excellence, and data-driven strategy for Samsung's flagship mobile ecosystem.

As a Business Intelligence & Data Analytics Intern, you will partner directly with business leaders and operational teams to transform complex customer service and operational data into actionable strategic insights. During this 10-week summer internship, you will lead a capstone analytics project focused on designing, developing, and deploying automated Power BI dashboards and robust SQL data models.

You will evaluate key performance indicators (KPIs), identify operational bottlenecks, and explore machine learning/AI techniques to improve service performance, streamline business reporting, and uncover cost-saving opportunities. At the end of the internship, you will present your findings and strategic recommendations directly to executive leadership.

Role and Responsibilities

• Data Querying & Management: Advanced proficiency in SQL for extracting, cleansing, aggregating, and organizing complex datasets from relational databases and cloud data warehouses.
• Business Intelligence & Data Visualization: Strong hands-on experience designing intuitive, interactive dashboards and automated reports in Microsoft Power BI (including DAX and Power Query) and/or Tableau.
• Advanced Data Analysis & Scripting: Strong skills in Python or R (utilizing libraries such as Pandas, NumPy, Scikit-learn) for exploratory data analysis, data manipulation, and predictive analytics.
• Familiarity with Enterprise Data Platforms: Understanding of data warehousing principles, ETL/ELT pipelines, and familiarity with enterprise systems (e.g., SAP, ERP environments) or cloud environments (AWS, Azure, GCP) is a strong plus.
• Demonstrated experience in building end-to-end BI solutions-from raw data extraction to front-end executive visualizations.
• Strong problem-solving mindset with the ability to structure ambiguous business problems into measurable, data-driven analytical frameworks.
• Excellent written and verbal communication skills, with proven ability to present complex technical findings and strategic insights to non-technical stakeholders and leadership.
• High attention to detail, strong organizational skills, and a proactive, collaborative approach to teamwork.
• Prior internship or professional experience in business intelligence, operations analytics, or data science is highly desirable.

Skills and Qualifications

Academic Major Preferred: Master's

Master of Science in Data Analytics, Business Analytics, Artificial Intelligence, Computer Science, Statistics, or related STEM discipline.

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