MBA Data Science Intern: Marketing Analytics & Visualization

Acxiom

Conway (AR)

Hybrid

USD 17,000 - 30,000

Part time

7 days ago
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Job summary

Acxiom's Automotive team is offering an internship for MBA students to apply marketing analytics, data science, and visualization to understand customers. The program targets current graduate studies and focuses on analytics, data-driven storytelling, and collaboration with brands.

You will work 20-25 hours per week during the semester and up to 40 hours during breaks and summer, engaging with data scientists and cross-functional teams to productionize models and deliver insights that drive

Qualifications

  • Currently pursuing MBA or similar graduate degree with emphasis on analytics or marketing.
  • Strong interpersonal and communication skills.
  • Ability to work independently and as part of a team.
  • Detail-oriented with excellent organizational skills.
  • Proficiency in Microsoft Office Suite and CRM software is a plus.
  • Basic to moderate SQL experience to model and identify patterns.

Responsibilities

  • Leverage education and experience in data visualization to support data-driven storytelling initiatives.
  • Leverage Acxiom’s data to develop opportunities for creating high-value audiences and models.
  • Coordinate activities designed to build, test and refine data solutions.
  • Apply statistical modeling to improve performance and quality of products.
  • Build, evaluate and optimize models.
  • Collaborate with stakeholders to understand business and insight goals.
  • Work with data scientists to define requirements and data sources.

Skills

Data visualization
Marketing analytics
Data science
Statistics
Market research
SQL

Education

MBA or similar graduate degree

Tools

Tableau
Looker
Google Analytics
Google Cloud Platform

Job description

Acxiom's Automotive team is offering an internship for MBA students to apply marketing analytics, data science, and visualization to understand customers. The program targets current graduate studies and focuses on analytics, data-driven storytelling, and collaboration with brands.

You will work 20-25 hours per week during the semester and up to 40 hours during breaks and summer, engaging with data scientists and cross-functional teams to productionize models and deliver insights that drive

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