About The Position

The Care – MX, Strategic Planning team at Samsung Electronics America works to deliver excellent 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, designing, developing, and deploying automated Power BI dashboards and SQL data models. The work includes evaluating KPIs, identifying operational bottlenecks, exploring machine learning and AI approaches to improve service performance, streamlining reporting, and identifying cost-saving opportunities. The intern presents findings and strategic recommendations to executive leadership.

Requirements

  • Advanced proficiency in SQL.
  • Strong hands-on experience with Microsoft Power BI, including DAX and Power Query, and/or Tableau.
  • Strong skills in Python or R, including relevant libraries such as Pandas, NumPy, and Scikit-learn.
  • Ability to structure ambiguous business problems into measurable, data-driven analytical frameworks.
  • Excellent written and verbal communication skills, including the ability to explain 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.

Nice To Haves

  • Understanding of data warehousing principles and ETL/ELT pipelines.
  • Familiarity with enterprise systems such as SAP or ERP environments, or cloud platforms such as AWS, Azure, or GCP.
  • Prior internship or professional experience in business intelligence, operations analytics, or data science.
  • A master's degree or master's-level academic focus in Data Analytics, Business Analytics, Artificial Intelligence, Computer Science, Statistics, or a related STEM discipline.

Responsibilities

  • Extract, cleanse, aggregate, and organize complex data from relational databases and cloud data warehouses.
  • Design interactive dashboards and automated reports using Power BI and/or Tableau.
  • Use Python or R for exploratory data analysis, data manipulation, and predictive analytics.
  • Build end-to-end business intelligence solutions, from raw data extraction through executive-facing visualizations.
  • Evaluate KPIs and identify operational bottlenecks and opportunities to improve service performance, reporting, and costs.
  • Explore machine learning and AI techniques relevant to operational and service performance.
  • Present analytical findings and strategic recommendations to executive leadership.
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