Customer Insights & Analytics Intern

Hill's Pet Nutrition

Overland Park (KS)

Hybrid

USD 25,000 - 34,000

Full time

14 days+

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Job summary

Colgate-Palmolive invites a student with a passion for data to join our Overland Park, KS team as a Customer Engagement Analytics Intern. You will help build dashboards, analyze customer data, and collaborate with regional CS&L groups to drive informed decisions.

You will work 20 hours per week during the academic semester in a hybrid setting, gaining hands-on experience with analytics tools and demand-planning initiatives.

Qualifications

  • Pursuing a degree in CS, DS, IS, SCM or a related field.
  • Available to work hybrid at Overland Park, KS location throughout the internship.
  • Must be available to work 20 hours/week during the academic semester.
  • Strong analytical and problem‑solving skills.
  • Excellent communication and teamwork abilities.

Responsibilities

  • Collaborate with regions to use analytic tools.
  • Deliver analyses that provide insights for customer data and collaboration.
  • Support and coordinate new tools implementations (Data Studio, BigQuery, Snowflake, Sigma, Domo).
  • Manage, update and share standardized analytics and reports to CS&L teams.
  • Lead data collection, analysis and interpretation to support decision-making.
  • Collaborate with regions to understand needs and requirements.
  • Ensure integration of analytics solutions with existing systems.
  • Facilitate training and adoption of new dashboards.

Skills

Analytical thinking
Data analysis
Problem solving
Team collaboration

Education

Pursuing CS/DS/IS/SCM degree

Tools

Domo
Sigma Computing
Google Workspace

Job description

Colgate-Palmolive invites a student with a passion for data to join our Overland Park, KS team as a Customer Engagement Analytics Intern. You will help build dashboards, analyze customer data, and collaborate with regional CS&L groups to drive informed decisions.

You will work 20 hours per week during the academic semester in a hybrid setting, gaining hands-on experience with analytics tools and demand-planning initiatives.

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