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Avispa Technology

Marketing Performance Data Analyst - University Research Center

Avispa Technology, Palo Alto, California, United States, 94306

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Marketing Performance Data Analyst

1432088 Hourly pay:

$45/hr Worksite: Leading university (Stanford, CA 94063 - Hybrid, Flexibility on the days onsite (Typically Tuesdays, Wednesdays, Thursdays onsite)) W2 Employment,

Group Medical, Dental, Vision, Life,

Retirement Savings Program,

PSL 40 hours/week, 12 Month Assignment A leading technology company seeks a marketing-savvy, data-driven

Marketing Performance Data Analyst

to join our Marketing and Communications team. The ideal candidate will measure and optimize campaign effectiveness across digital and traditional channels.

The company offers a family-oriented culture and environment! Marketing Performance Data Analyst

Responsibilities: Performance Measurement & Reporting:

Track and report on campaign performance across email, social, web, paid, and earned media. Clean, segment, and analyze marketing data using HubSpot and GA4.

Strategic Insights, Planning & Execution:

Translate data into intuitive narratives for stakeholders and leadership. Design and analyze A/B and multivariate tests to improve campaign outcomes.

Data Management & Tools:

Ensure proper tagging and tracking via HubSpot, GA4, and Google Tag Manager. Maintain marketing data integrity across CRM, automation, and analytics systems.

Marketing Performance Data Analyst

Qualifications: 1+ years of experience in marketing. Bachelor's Degree. Marketing Strategy & Execution: Understanding of campaign lifecycles, storytelling, and content-driven engagement. HubSpot Mastery: Experience with custom reporting, workflows, and lead scoring. GA4 Proficiency:Ability to analyze user behavior, content performance, and conversion paths. Data Storytelling: Skilled at crafting insights into persuasive, executive-ready narratives. Marketing Data Science: Experience using statistical tools to identify audience patterns and trends. An interest in public policy is a plus. Google Analytics. Data cleaning, mining, visualization, and automation, with a strong grasp of marketing fundamentals. Shift: Monday to Friday, 8 am-5 pm. #PP

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