About this role
Smartly is hiring a Business Analytics Intern to join the team in Chicago, Illinois for the Fall 2026 term. This practical internship suits a curious student or recent graduate eager to apply quantitative skills to real-world business and customer data challenges.
Role Overview
The Business Analytics Intern position provides immersive, hands-on experience working directly alongside the Smartly Business Analytics team. Spanning from October 6 through December 17, 2026, for approximately 30 hours per week, the role focuses on transforming complex datasets into clear, actionable insights. Interns will explore how modern analytics and artificial intelligence tools help organizational teams make better-informed, data-driven decisions.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Smartly is an AI-powered advertising technology company that transforms advertising experiences for brands and consumers worldwide. The comprehensive platform integrates media, creative, and intelligence, powering more than 800 billion impressions and 300 billion creatives every year. Recognized as a Leader in The Forrester Wave for Creative Advertising Technologies, Smartly manages creative and media for over 700 global brands and $6 billion in ad spend across major networks like Facebook, Google, Instagram, Pinterest, Snap, and TikTok. The multinational workforce consists of over 750 employees representing more than 60 nationalities across 13 countries.
How to Apply
Interested candidates should visit the official Smartly careers page to submit an application and review the candidate privacy notice.
Skills and tech stack
Questions candidates ask
What are the dates for the Business Analytics Intern position?
The internship runs from October 6 through December 17, 2026.
How many hours per week is the internship?
The position is approximately 30 hours per week.
Where is the job located?
The internship is located in Chicago, Illinois, United States.
What technical skills are required?
Candidates must have experience working with SQL and strong quantitative and analytical skills.
Are Python and dbt required?
dbt familiarity is considered a strong advantage, and Python experience is beneficial though not strictly required.
