Sr. Analyst, Marketing Analytics

Poshmark • Redwood City, CA

11h

About The Position

Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one-of-a-kind items, and building a more sustainable future for fashion. For more information, please visit www.poshmark.com, and for company news, visit newsroom.poshmark.com.
Poshmark Inc. is hiring for the following role in Redwood City, CA: Sr. Analyst, Marketing Analytics to utilize various online marketing tactics and data analytics to increase visibility and engagement with Poshmark content and user products.

Requirements

• Master’s degree (or foreign equivalent) in Mathematics, Statistics, Economics, Computer Science, Engineering Sciences, Software Engineering, Data Science, or a related field.
• Position requires completion of a university-level course, research project, internship, or thesis: in each of the following: SQL; Python; R; Cloud platform such as AWS or GCP; Online marketing data analytics, including analysis of digital marketing spend and optimization; machine learning algorithms; and A/B testing.

Responsibilities

• Analyze customer behavior and test various hypotheses in order to identify areas of opportunity and provide data-driven recommendations to improve overall customer engagement acquisition, engagement, and retention;
• Build measurement framework and cost benchmarks for remarketing and identify retargeting opportunities support paid marketing channels to drive new user growth and retain existing users;
• Examine search query behaviors on search engines, including analyzing data to understand user intent and measure outcomes for ongoing optimization;
• Conduct A/B tests for product changes focused on web site design to improve new user conversion rate and referral programs;
• Optimize budget allocation within each various online channels;
• Scale marketing spend while identifying efficiencies to increase existing users’ retention; and
• Develop measurement framework for video content to provide optimization insights at tier, network, and daypart level. Multiple positions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level