Senior Analytics Engineer at Ghost

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.

About the Role

We’re looking for a Senior Analytics Engineer that is a highly motivated individual contributor, proficient in both analytics and data engineering. You will work full stack and have a strong passion for uncovering insights through data and leveraging analytics to solve complex problems to drive continuous improvement, as we continue to grow the most powerful data-driven distribution platform. Our current stack includes: Snowflake, dbt, Metabase, and Python. 

Key Responsibilities:

1. Deliver Data-Driven Insights

• Understand business objectives and apply advanced analytics and data engineering techniques to develop and implement innovative solutions that tackle complex problems. 
• Collaborate with cross-functional teams to design, build, and maintain scalable data pipelines and analytics platforms that empower our customers with actionable insights.

Technical Leadership: 

• Act as a technical leader in the domain of analytics, demonstrating mastery over the latest data tools and technologies (e.g., SQL, Python, BI tools). 
• Promote a culture of learning and excellence through code reviews, design discussions, and leading technical conversations with leadership.

Research and Development: 

• Stay ahead in analytics and explore new data technologies and methodologies to enhance our analytics capabilities. This field is rapidly changing, and we’re looking for someone actively embracing new tools like AI to make the process of data analytics increasingly self-serve. 
• Proactively share knowledge and insights with the team to foster innovation and continuous improvement.

Advanced Analytics Implementation: 

• Develop and maintain robust data models, analytics frameworks, and custom analytics solutions to solve business challenges. 
• Utilize data to create business intelligence reports and dashboards optimized for strategic decision-making.

Best Practices Advocacy: 

• Champion engineering and analytics best practices, including data quality, data governance, testing, and performance tuning.
• Ensure rigorous code reviews and advocate for architectural excellence.

Cross-Team Communication: 

• Effectively articulate technical concepts and insights to non-technical teams. Mentor and support the development of junior engineers, promoting a culture of learning and growth.

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience
• 5+ years of experience in an analytics/ data engineering role
• 5+ years working on maintaining databases, and building scalable data models for analytical and BI purposes
• Strong proficiency with dbt 
• Strong SQL skills preferably for data transformation or analytical use cases
• Comfortable with Python/R for advanced ETL/ELT procedures
• Experience using BI tools (e.g. Snowflake, Looker, Tableau) and an ability to design intuitive, user-friendly data visualizations.

Our total compensation for this position can range from $150,000 to $190,000. The actual amounts may vary based on factors such as experience, knowledge, skills, and abilities related to the position.

Benefits we offer: 

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