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Hybrid Marketing Data Analyst bei Avispa Technology

Avispa Technology · Stanford, Vereinigte Staaten Von Amerika · Hybrid

93.600,00 $  -  93.600,00 $

Jetzt bewerben

Marketing 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 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 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 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.

(H)

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