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Manager – Strategy & Analytics

Manager – Strategy & Analytics

CompanyGAP
LocationSan Francisco, CA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
Degrees
Experience LevelSenior

Requirements

  • 5+ years of experience in marketing analytics, strategy, or business intelligence, preferably within retail, fashion, or e-commerce.
  • Strong proficiency in data analysis tools such as SQL, Google Analytics, Tableau, or other BI platforms.
  • Experience with marketing attribution models, A/B testing, and performance measurement frameworks.
  • Solid understanding of paid media, CRM, email, and digital marketing channels.
  • Highly analytical mindset with the ability to translate data into actionable business insights.
  • Excellent communication skills, with the ability to present findings to both technical and non-technical stakeholders.
  • Experience working in a fast-paced, results-driven environment with multiple priorities.
  • Strong business acumen and strategic thinking to drive growth initiatives.

Responsibilities

  • Analyze marketing performance across paid media, CRM, loyalty programs, and digital channels to identify trends, opportunities, and areas for optimization.
  • Develop data-driven strategies to improve customer acquisition, retention, and engagement.
  • Partner with cross-functional teams, including digital marketing, e-commerce, and finance, to inform budget allocation and investment decisions.
  • Build and maintain dashboards and reporting frameworks that provide visibility into key marketing KPIs and business performance.
  • Conduct A/B testing and attribution modeling to refine targeting, messaging, and channel mix.
  • Leverage customer segmentation and predictive analytics to personalize marketing efforts and enhance ROI.
  • Monitor industry trends, competitive benchmarks, and emerging marketing technologies to ensure the brand stays ahead of the curve.
  • Provide executive-level reporting and insights to senior leadership, translating complex data into clear, actionable recommendations.
  • Collaborate with data science and engineering teams to enhance data collection and analytics capabilities.

Preferred Qualifications

    No preferred qualifications provided.