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Data Analytics Intern

🚀 Off-cycle Internship

San Jose

AI generated summary

  • You need data analytics skills, attention to detail, eager to learn, strong work ethic, communication skills. Seeking Bachelor's/Advanced degree, SQL/Tableau knowledge, and authorized to work in the US.
  • You will learn how to evaluate data, integrate data sources, address quality issues, partner cross-functionally, provide inputs on experimental design, interpret analytical outputs, respond to business questions, and understand the data landscape.

Off-cycle Internship

Data•San Jose


  • The Data Analytics Internship is an opportunity to learn and develop analytic modelsto understand complex business issues and provide data-driven insights through integrating statistical inference skills by working with the Enterprise Data Analytics team. Our internship is designed for individuals who are currently enrolled at an accredited college/university and who will be continuing their studies in the fall


  • Competencies:
  • Data analytics skills
  • Well organized with strong attention to detail; proactively ensures work is accurate and error-free
  • Self-motivated and aptitude to learn quickly
  • Positive attitude and work ethic; unafraid to ask questions and explore new ideas
  • Excellent verbal and written communication skills; strong sense of professionalism
  • Qualifications:
  • Candidates should be seeking a Bachelor's or Advanced degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field
  • Working knowledge of SQL, Tableau, Analytics tools (Alteryx), and machine learning models
  • Able to work independently at times and dedicate a minimum of 20 hours/week
  • Must be legally authorized to work in the United States without restriction
  • Must be willing to submit to a background investigation, including verification of your employment and criminal history
  • Must be 18 years of age or older

Education requirements

Currently Studying

Area of Responsibilities



  • Will learn how to evaluate data when answering relevant and impactful business questions, how to identify opportunities to integrate data across sources, and how to addresses data integrity and/or quality issues in partnership with others
  • Will have the opportunity to partner cross-functionally and learn how to provide inputs on experimental design or evaluation frameworks for established data sources, as well as how decisions are made as related to data use, personalization, and the data-driven interpretation of results and recommendations
  • Will utilize analytics skills to respond to business questions, interpret analytical outputs, provide responses in an appropriate format, and partner to build on others' analyses and frameworks
  • Will have the opportunity to participate in / learn about the data landscape and the lineage of those data and asks pertinent questions to understand requirements and/or issues relevant to the data landscape


Work type

Full time

Work mode



San Jose