Audience Solutions Data & Taxonomy Intern

Stirista, LLC; Town of Texas (WI); Hybride; USD 21 000 - 29 000; Temps partiel

Résumé du poste

Stirista, LLC is offering an Audience Solutions Internship to support the Audience Solutions department with data projects, audience segment maintenance, and storefront cleanup. You will gain hands-on experience with how syndicated audiences are created, categorized, and deployed across DSPs, SSPs, and the broader programmatic advertising ecosystem.

The role requires enrollment in a related field and a commitment of at least 24 hours per week for Summer 2027, with a focus on data management,

Qualifications

• Currently enrolled as a college/university student in a related field.
• Strong interest in digital advertising and programmatic ecosystems.
• Ability to commit to 24 hours per week for Summer 2027.
• Proficiency with Excel or Google Sheets for data tasks.

Responsabilités

• Assist with data maintenance projects, including segment reviews and taxonomy cleanup across data storefronts.
• Help build and refine a persona taxonomy to map buying habits and behaviors.
• Support the team with routine data management tasks for syndicated audience projects.
• Perform data organization, auditing, and basic reporting using spreadsheets and queries.
• Learn how syndicated audiences are created, categorized, and deployed across DSPs/SSPs.

Connaissances

Data analytics

SQL

Google Sheets

Communication

Formation

Pursuing degree in Data Analytics, Marketing, CS, or related field

Outils

Excel

Google Sheets

Description du poste

Stirista, LLC is offering an Audience Solutions Internship to support the Audience Solutions department with data projects, audience segment maintenance, and storefront cleanup. You will gain hands-on experience with how syndicated audiences are created, categorized, and deployed across DSPs, SSPs, and the broader programmatic advertising ecosystem.

The role requires enrollment in a related field and a commitment of at least 24 hours per week for Summer 2027, with a focus on data management,