Marketing Analytics Intern

SAS•Edina, MN

6d•Hybrid

About The Position

The Marketing Data & Operations Intern will help advance foundational projects connecting marketing strategy, customer engagement data, and scalable reporting. The intern will work with marketing and data stakeholders to translate business questions into documented requirements, organized data structures, prototypes, and recommendations. The role is designed for a curious, analytical student comfortable learning new tools and working through open-ended problems. The primary project focuses on cross-channel attribution and influence modeling. The intern will inventory relevant marketing and sales interaction sources, document available data, help define interaction types and business rules, map and normalize interaction data across platforms, support a prototype or proof of concept for attribution reporting, and test outputs while documenting findings, limitations, and recommendations. Potential supporting projects include organizing and documenting marketing data in AWS for downstream use cases such as Salesforce; researching persona- and journey-based segmentation approaches; and documenting repeatable data quality practices, segmentation rules, definitions, and team guidance. The internship provides learning opportunities in structuring cross-channel marketing interactions for analysis, translating business questions into data requirements, documenting and testing practical solutions, and communicating recommendations to stakeholders. Depending on project scope and readiness, the intern may also gain applied experience with AWS, SQL, Salesforce, HubSpot, segmentation, customer journey concepts, and marketing measurement.

Requirements

Currently pursuing a degree in Marketing Analytics, Business Analytics, Data Analytics, Information Systems, Computer Science, Data Science, Marketing, or a related field.
Strong analytical thinking, curiosity, attention to detail, and ability to learn unfamiliar systems.
Experience with spreadsheets.
Ability to communicate clearly, document work thoroughly, and collaborate across business and technical perspectives.
Must be legally authorized to work in the United States and must not require employment visa sponsorship now or in the future.

Nice To Haves

Third-year student preferred.
SQL, data modeling, cloud platforms, CRM, marketing automation, or visualization tools are helpful but not required.

Responsibilities

Gather and document business and data requirements through stakeholder conversations.
Analyze source data structures and identify gaps, inconsistencies, or dependencies.
Create clear documentation, process maps, data dictionaries, or source-to-target mappings.
Use structured analysis to test assumptions and validate results.
Communicate progress, risks, findings, and recommendations in a concise, business-friendly format.
Prepare a final presentation and reusable project documentation.
Inventory marketing and sales interaction sources and document the data available from each source.
Help define and document interaction types, business rules, required fields, and success criteria for an attribution and influence model.
Assist with mapping and normalizing interaction data across platforms into a consistent structure.
Support development of a prototype or proof of concept for business-defined attribution reporting.
Test outputs, document findings and limitations, and recommend next steps for implementation and maintenance.
Support organization and documentation of marketing data in AWS, including source mapping, transformation requirements, and downstream use cases.
Research persona- and journey-based segmentation concepts and recommend a practical approach.
Document repeatable data quality practices, segmentation rules, definitions, and team guidance as project needs evolve.