About The Position

The digital experience analytics team at TI uses advanced analytics, machine learning, automation, and martech expertise to transform complex customer data into actionable insights and foundational data products that enable marketers to understand and activate programs that serve our customers and drive impact for the company. This internship is geared towards individuals who have an interest in leveraging data to guide the creation and optimization of sales and marketing programs to drive business roadmaps, improving how we collect, join and analyze data across our customer touchpoints such as TI.com and promotional content, building machine learning models to power personalized digital experiences, enabling fast reporting by building an ecosystem that allows for quick access to valuable insights, and training teams to use this ecosystem effectively, and analyzing key performance indicators to provide improvement recommendations for sales and marketing programs.

Requirements

  • Pursuing an undergraduate or graduate degree in Marketing, Business Analytics, Management Information Systems (MIS), Data Science, Statistics, or Computer Science with focus in marketing, or related degree.
  • Cumulative 3.0/4.0 GPA or higher

Nice To Haves

  • Pursuing a Master's degree in marketing, marketing analytics, data science, computer science, engineering, MIS, or related field
  • Experience or basic proficiency with high-level programming languages (python, Java)
  • Experience or basic proficiency with SQL and BI tools (Tableau, Power BI, Looker)
  • Experience or basic proficiency with web analytics (Google Analytics 4) or customer data platforms
  • Internship experience in a similar field
  • Strong analytical skills and curious mindset
  • Capable of multi-tasking and handling conflicting priorities
  • Motivated self-starter with the ability to work independently while effectively communicating progress updates vertically and laterally
  • Ability to communicate complex topics to variety of stakeholders
  • Can make progress in an ambiguous environment

Responsibilities

  • Leveraging data to guide the creation and optimization of sales and marketing programs to drive business roadmaps.
  • Improving how we collect, join and analyze data across our customer touchpoints such as TI.com and promotional content.
  • Building machine learning models to power personalized digital experiences.
  • Enabling fast reporting by building an ecosystem that allows for quick access to valuable insights, and training teams to use this ecosystem effectively.
  • Analyzing key performance indicators to provide improvement recommendations for sales and marketing programs.

Benefits

  • Competitive pay and benefits designed to help you and your family live your best life.
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