Demonstrates strong analytical skills and attention to detail in documenting and analyzing marketing data, while effectively communicating findings and recommendations. Proficient in SQL and familiar with cloud platforms and CRM systems to support data-driven decision-making.

Highest-signal resume keywords

SQLData ModelingCloud PlatformsCRMMarketing Automation

Tech Stack

Tools & technologies

AWSCloudSQL

About the role

Key responsibilities & impact

Inventory relevant marketing and sales interaction sources and document available data
Define and document interaction types, business rules, required fields, and success criteria for an attribution and influence model
Map and normalize 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 implementation and maintenance next steps
Support organization and documentation of marketing data in AWS, including source mapping, transformation requirements, and downstream use cases such as Salesforce outputs
Research persona- and journey-based segmentation concepts and recommend a practical segmentation approach
Document repeatable data quality practices, segmentation rules, definitions, and team guidance
Gather and document business and data requirements through stakeholder conversations
Analyze source data structures and identify gaps, inconsistencies, or dependencies
Create process maps, data dictionaries, source-to-target mappings, and other project documentation
Test assumptions and validate results using structured analysis
Communicate progress, risks, findings, and recommendations in a concise, business-friendly format
Prepare a final presentation and reusable project documentation

Requirements

What you’ll need

Currently pursuing a degree in Marketing Analytics, Business Analytics, Data Analytics, Information Systems, Computer Science, Data Science, Marketing, or a related field; third-year student preferred
Strong analytical thinking, curiosity, attention to detail, and ability to learn unfamiliar systems
Experience with spreadsheets
SQL, data modeling, cloud platforms, CRM, marketing automation, or visualization tools helpful but not required
Ability to communicate clearly, document work thoroughly, and collaborate across 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
Equivalent combination of education, training, and relevant experience may be considered in place of the stated education requirement

Benefits

Comp & perks

Inclusive work environment
Professional growth opportunities
Opportunity to balance work with other aspects of life
Applied experience with AWS, SQL, Salesforce, HubSpot, segmentation, customer journey concepts, and marketing measurement, depending on project scope and readiness

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisData DocumentationData Quality PracticesSegmentation RulesProcess MappingSource-to-Target MappingStructured AnalysisData Dictionary CreationBusiness Requirements GatheringInteraction Data Mapping

Soft Skills

Analytical ThinkingAttention to DetailCuriosityClear CommunicationCollaboration

Tools & Technologies

SpreadsheetsVisualization ToolsAWSSalesforce

Industry Keywords

Marketing AnalyticsBusiness AnalyticsData AnalyticsInformation SystemsData Science