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.
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.

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and  provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or [email protected] for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.