Senior Analytics Engineer - Remote

Overview

Ghost is a data-driven distribution platform for the best brands in the world. We partner with leading streetwear, apparel, footwear, beauty, and home goods brands to unlock new revenue for all types of inventory. Through transparency, data insights, and a network of vetted buyers, Ghost empowers sellers to diversify and optimize their inventory management. Backed by top VC firms (Cathay, USV, Equal, Eniac, L. Catterton), Ghost is one of LA’s fastest-growing startups.

In Short

• Deliver data-driven insights through advanced analytics and data engineering techniques.
• Collaborate with cross-functional teams to design and maintain scalable data pipelines.
• Act as a technical leader in analytics and data tools.
• Explore new data technologies to enhance analytics capabilities.
• Develop and maintain robust data models and analytics frameworks.
• Champion engineering and analytics best practices.
• Mentor junior engineers and promote a culture of learning.

Requirements

• BA/BS Degree in Computer Science or related field.
• 5+ years of experience in analytics or data engineering.
• 5+ years of experience maintaining databases and building data models.
• Strong proficiency in dbt.
• Strong SQL skills for data transformation.
• Experience with Python/R for ETL/ELT procedures.
• Experience using BI tools like Snowflake, Looker, Tableau.

Benefits

• Medical, Vision, and Dental coverage with some plans at 100%.
• Competitive compensation and equity structure.
• 401K plan.
• Unlimited PTO.