Business Intelligence & Data Analytics Intern

Samsung Electronics•Plano, TX

About The Position

The Care – MX, Strategic Planning team at Samsung Electronics America focuses on customer service, operational excellence, and data-driven strategy for Samsung’s mobile ecosystem. The Business Intelligence & Data Analytics Intern partners with business leaders and operational teams to turn customer service and operational data into strategic insights. During a 10-week summer internship, the intern leads a capstone analytics project to design, develop, and deploy automated Power BI dashboards and SQL data models. The work includes evaluating KPIs, identifying operational bottlenecks, and exploring machine learning and AI techniques to improve service performance, streamline reporting, and identify cost-saving opportunities. The intern presents findings and strategic recommendations to executive leadership. Samsung Electronics America is headquartered in Englewood Cliffs, New Jersey, and is the U.S. sales and marketing subsidiary of Samsung Electronics Co., Ltd. The company describes itself as an inclusive employer committed to equal employment opportunity and reasonable accommodations during the application process.

Requirements

  • Advanced proficiency in SQL for extracting, cleansing, aggregating, and organizing complex datasets from relational databases and cloud data warehouses.
  • Hands-on experience designing intuitive, interactive dashboards and automated reports in Microsoft Power BI, including DAX and Power Query, and/or Tableau.
  • Strong skills in Python or R for exploratory data analysis, data manipulation, and predictive analytics, using libraries such as Pandas, NumPy, or Scikit-learn.
  • Demonstrated experience building end-to-end business intelligence solutions, from raw data extraction to executive visualizations.
  • Strong problem-solving skills and ability to structure ambiguous business problems into measurable, data-driven analytical frameworks.
  • Excellent written and verbal communication skills, including the ability to present 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.
  • Master of Science in Data Analytics, Business Analytics, Artificial Intelligence, Computer Science, Statistics, or a related STEM discipline is listed under the preferred academic major.

Nice To Haves

  • Understanding of data warehousing principles and ETL/ELT pipelines.
  • Familiarity with enterprise systems such as SAP or ERP environments, or cloud environments such as AWS, Azure, or GCP.
  • Prior internship or professional experience in business intelligence, operations analytics, or data science.

Responsibilities

  • Partner with business leaders and operational teams to turn customer service and operational data into actionable strategic insights.
  • Lead a capstone analytics project focused on designing, developing, and deploying automated Power BI dashboards and SQL data models.
  • Evaluate key performance indicators and identify operational bottlenecks.
  • Explore machine learning and AI techniques to improve service performance, streamline business reporting, and identify cost-saving opportunities.
  • Present findings and strategic recommendations to executive leadership.
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