Marketing Analytics Intern

This is a fully remote position, open to applicants in United States.

📋 Description

• Catalog relevant marketing and sales interaction sources while documenting the available data.

• Establish and record interaction types, business rules, necessary fields, and success criteria for an attribution and influence model.

• Organize and standardize interaction data across various platforms into a cohesive structure.

• Assist in the creation of a prototype or proof of concept for business-defined attribution reporting.

• Evaluate outputs, document findings and limitations, and propose implementation and maintenance next steps.

• Aid in the organization and documentation of marketing data within AWS, including source mapping, transformation requirements, and downstream use cases such as Salesforce outputs.

• Investigate persona- and journey-based segmentation concepts and suggest a practical segmentation strategy.

• Record repeatable data quality practices, segmentation rules, definitions, and team guidance.

• Collect and document business and data requirements through discussions with stakeholders.

• Examine source data structures to identify gaps, inconsistencies, or dependencies.

• Develop process maps, data dictionaries, source-to-target mappings, and other project documentation.

• Verify assumptions and validate results through structured analysis.

• Convey progress, risks, findings, and recommendations in a clear, business-friendly manner.

• Prepare a final presentation along with reusable project documentation.

⛳️ Requirements

• Currently enrolled in a degree program in Marketing Analytics, Business Analytics, Data Analytics, Information Systems, Computer Science, Data Science, Marketing, or a related field; third-year students are preferred.

• Strong analytical thinking, curiosity, attention to detail, and willingness to learn new systems.

• Proficiency with spreadsheets.

• Familiarity with SQL, data modeling, cloud platforms, CRM, marketing automation, or visualization tools is advantageous but not mandatory.

• Ability to communicate effectively, document work comprehensively, and collaborate from both business and technical perspectives.

• Must be legally authorized to work in the United States.

• Must not require, now or in the future, sponsorship for employment visa status.

• An equivalent combination of education, training, and relevant experience may be considered in lieu of the stated educational requirements.

🏝️ Benefits

• Inclusive work environment.

• Professional growth opportunities.

• Flexibility to balance work with other aspects of life.

• Practical experience with AWS, SQL, Salesforce, HubSpot, segmentation, customer journey concepts, and marketing measurement, contingent on project scope and readiness.