Performance Marketing Analyst
URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)
Job Overview
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Job Description
Performance Marketing Analyst at URBN
URBN is hiring a Performance Marketing Analyst with experience in Digital Performance Media and Search Engine Marketing to help us better measure and optimize the effectiveness of our investments. This role sits on our central Marketing organization and will directly support our growing in-house Paid and Organic Search teams. This role will also focus on LLM Agent/Answer Engine Optimization initiatives meant to drive Brand Discoverability in these new platforms as the Search and Shopping landscape continues to quickly evolve. You will be hands-on with data and dashboards every day, helping to translate metrics into actionable insights for Marketing decision-makers and to drive Brand Demand, Customer Acquisition and Retention, and Marketing effectiveness.
Role Responsibilities
- Utilize data and analytics daily to identify insights and optimization recommendations for improving Brand Discoverability and Marketing effectiveness
- Understand and track a variety of metrics for Paid and Organic Search and for new LLM Agents, such as Gemini or ChatGPT, analyzing performance trends (e.g., visibility scores, keyword rankings, CPCs, sessions, conversions, ROAS), and partner with Search team to make regular data-driven adjustments
- Utilize internal data in conjunction with channel and vendor tools, including GA4, SA360, and MTA and MMM performance models
- Support Paid Search team in daily, weekly, monthly data needs for budgeting, pacing, and forecasting
- Support AEO/SEO team in regular tracking of keyword rankings, visibility scores, and new trend opportunities, and in aligning performance data to content and technical changes being made
- Build and maintain dashboards and reports to track and visualize marketing performance
- Utilize the data to identify, help design, and measure testing opportunities across channels of focus in conjunction with Media and Testing teams
- Collaborate regularly with stakeholders at Brand, within Technology, and Finance
- Stay up-to-date on industry trends and best practices in Marketing and Media Analytics, including through AI automation, and proactively identify new tools and techniques to drive productivity
Role Qualifications
- Bachelor’s degree in Marketing, Business, Analytics, Statistics, Data Science, or related experience
- At minimum two (2) years of experience in a marketing analytics, ecommerce, retail, or agency environment
- Strong aptitude for gathering and understanding quantitative data, with an interest in fashion, consumer, and technology trends
- Hands-on experience with tracking of Paid and Organic Search metrics, including Google Adwords and SA360, and ideally, with Google Shopping and PMAX
- Additional experience with Organic Search tools, such as SEMRush or BrightEdge, also preferred
- Ability to analyze and connect business and and media metrics, translating into actionable channel and investment recommendations
- Experience with SQL is preferred, but openness to learning is equally valued
- Advanced Microsoft Excel or Google Sheets skills
- Looker Studio dashboard building skills preferred
- Exceptional attention to detail and ability to juggle multiple priorities at once
- Excellent communication skills, with the ability to present data-driven insights to various stakeholders
- Collaborative and self-motivated, with the ability to work both independently and as part of a team
- Ability to thrive in a fast-paced, results-oriented organization
Key skills/competency
- Digital Marketing
- Performance Media
- Search Engine Marketing
- SEO
- SEM
- Data Analytics
- GA4
- SA360
- LLM Optimization
- Google Ads
How to Get Hired at URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)
- Research URBN's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in digital performance marketing, SEO/SEM, and data analytics.
- Showcase data expertise: Provide examples of using GA4, SA360, SQL, and dashboard building skills.
- Emphasize industry knowledge: Discuss trends in AI automation, LLM optimization, and fashion/retail analytics.
- Prepare for behavioral questions: Focus on collaboration, adaptability, and problem-solving within a fast-paced environment.
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