Manager – Strategy & Analytics
Company | GAP |
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Location | San Francisco, CA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Senior |
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
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No preferred qualifications provided.