Description
You'll be the primary point of contact for ecommerce data questions and analysis, translating numbers into clear stories and recommendations for editors, business development, and social teams.
This is a full-time, benefits-eligible position with an initial five-month term, with the possibility of extension based on performance and business need.
Responsibilities
- Present in-depth analyses of ecommerce performance that go beyond reporting what happened, to explain the bigger trends behind it
- Translate data into plain language for non-data stakeholders, and make clear recommendations to editorial, business development, and social teams
- Identify growth opportunities and design tests to act on them
- Own solving problems as they come up , looking for ways to automate or use tools and data rather than patch things manually
- Support the business with regular reporting, dashboards, and insights, and keep them well-maintained over the course of the engagement
- Lead ad-hoc analysis for major commerce moments during the contract window (Black Friday, Cyber Monday, holiday season, and into Q1)
- Help set up reporting and processes that can hand off cleanly at the end of the term
Requirements
- Strong analytical ability, with a track record of synthesizing data into concepts non-data people can act on
- Strong understanding of affiliate ecommerce
- Hands-on experience with Google Analytics and Big Query
- Proficiency in Excel; experience with Google Sheets a plus
- Experience with a data visualization tool , Looker, Google Data Studio (Looker Studio), or Tableau
- Understanding of statistical concepts
- Understanding of LLM’s and how they relate to retail/affiliate marketing
Experience
- 4+ years working in an analytical role
- Background at an ecommerce company, media company, or tech company preferred , we're open to other paths that show the same analytical muscle
- Titles like Analyst are typical, but we care more about the work than the title
- Comfortable hitting the ground running , this is a short-term engagement over our highest-volume season
Nice to Haves
- Experience with BigQuery or another SQL-based analytics tool
- Search experience , SEO, SEMRush or a competitor tool, Search Console
- Paid social experience
- Experience with an affiliate or retail brand business
- Experience with LLM analytics
Education
- No formal degree required.
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