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We’re looking for a technical, data-driven marketing analyst to help scale ShipperHQ’s marketing operations across SEO, AEO, and performance marketing. This is an ideal role for an analytical individual who has experience working with data, tools, tech, and AI to drive smarter marketing decisions. The Junior Marketing Operations & Data Analyst will partner with Marketing, Sales, and Product teams to improve visibility into marketing performance and enable smarter decision making through data. You’ll maintain and enhance our marketing data infrastructure, build reports and dashboards, and surface actionable insights to drive pipeline growth and ROI. You’ll also support SEO, AEO, and paid media performance measurement and optimization, using AI tools to speed up analysis and automation.
Job Responsibility:
Build, maintain, and automate dashboards tracking marketing KPIs, funnel performance, and campaign effectiveness
Analyze campaign data from multiple sources to provide insights that improve lead generation and conversion
Support performance tracking for SEO, AEO, and paid campaigns—use insights to recommend improvements
Use AI tools (smartly) to speed up analysis, automate routine tasks, and generate test ideas
Ensure data accuracy and consistency across tools to support reporting and segmentation
Partner with Sales, Ops, and Product Marketing to ensure unified data reporting and performance insights
Present findings to stakeholders in clear, actionable ways - translating technical analysis into business recommendations
Requirements:
Bachelor’s degree in Marketing Analytics, Information Systems, Computer Science, Business Intelligence, or related field
1-2 years of experience in marketing ops, analytics, or data-related roles (internships & academic experience count if hands-on)
Strong analytical skills –proficient in analyzing data, identifying trends, and highlighting insights to help drive decisions
Hands-on experience with data visualization tools
Working knowledge of marketing automation and CRM platforms (HubSpot, preferred)
Excellent communicator, and able to translate data insights into strategic recommendations
Understanding that AI can be wrong, generic, or off-brand (“AI slop”), and a habit of reviewing and validating AI-generated work
Exposure to SEO & AEO concepts and an interest in improving organic performance, and AI-attribution
Ideally, basic comfort “coding with AI” (e.g., using chat-based coding or tools like GitHub Copilot/Cursor to generate simple Python, JavaScript, or SQL scripts that support analysis and automation
Comfortable using AI tools as part of your day-to-day work (for analysis, problem solvingand automation)
What we offer:
Collaborate with a motivated team, directly tying your results to organizational success
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