Senior Analytics Engineer, GOAT

$88.7-130.2k

Salary dependent on candidates location

SQL

Python

Snowplow

Airflow

Stitch

Git

dbt

Mid and Senior level

Remote from US

Marketplace for authentic streetwear

Be an early applicant

Marketplace for authentic streetwear

501-1000 employees

B2CMarketplaceFashionConsumer GoodseCommerce

Be an early applicant

$88.7-130.2k

Salary dependent on candidates location

SQL

Python

Snowplow

Airflow

Stitch

Git

dbt

Mid and Senior level

Remote from US

501-1000 employees

B2CMarketplaceFashionConsumer GoodseCommerce

Company mission

To bring the world’s greatest products together from the past, present and future, while providing a premier end-to-end customer experience with a point of view on culture and style.

Job

Company

Role

Who you are

3-5+ years in an Data Analytics, Analytics Engineering, Data Engineering, or Business Intelligence Engineering role
Strong SQL skills with knowledge of window functions, performance tuning, optimization, and legibility
Experience using dbt CLI/Cloud or other data modeling tools (Stitch, Coalesce, etc.)
Proficient in using Git for version control, including branching, merging, and collaborative development best practices
Experience with scheduling and orchestration tools (GitHub Actions, Airflow, etc.)
Familiarity with event tracking analytics and clickstream data (mParticle, Snowplow, etc.)
Comfortable with Python/R for advanced ETL/ELT procedures
Ability to communicate effectively with and prioritize requests from both technical and non-technical stakeholders

What the job involves

The Senior Analytics Engineer I will help establish best analytical practices across the GOAT Group organization. Ideal candidates will have a deep understanding of data modeling and core software engineering principles in addition to technical SQL skills.
Additionally, candidates will have a curiosity for the business and ability to expand their knowledge through learning and implementation of new analytics engineering technologies
Build upon and scale our current data infrastructure (Snowflake, dbt, Mode/Metabase) to meet evolving business needs and capture critical business logic
Work closely with the Senior Analytics Engineering Manager to create and improve data models, data orchestrations, dbt version updates, and development environments
Contribute expertise and promote best analytics engineering practices in the organization through collaboration with other data teams and stakeholders
Establish data quality and governance across all business units including, but not limited to, Finance, Accounting Operations, Product, and Engineering

Our take

GOAT is a resale marketplace built around one core promise: if you buy it there, it's real. Best known for sneakers, the company helped pioneer the "ship-to-verify" model, where sellers send items to GOAT first for authentication before they ever reach the buyer. In a market driven by hype and scarcity, that extra step has become a major trust signal, especially for high-value, hard-to-find pieces.

Alongside human authenticators, the company has invested heavily into machine learning - reportedly using tools like NVIDIA's deep learning tech - to improve speed and accuracy at scale. At the same time it hasn't stayed confined to sneakers. By acquiring Flight Club and Grailed, GOAT has expanded into physical retail and broader streetwear, giving it multiple ways to reach buyers and sellers.

Now GOAT sits in a competitive space alongside platforms like StockX, but its positioning feels slightly different. Think less transactional exchange, more curated marketplace with a strong brand identity. As resale continues to grow globally, GOAT's challenge will be maintaining that trust and curation as scale.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

46% employee growth in 12 months

Glassdoor (3.5)

Trustpilot (3.9)

Company

Funding (last 2 of 9 rounds)

Jun 2021

$195m

SERIES F

Sep 2020

$100m

SERIES E

Total funding: $492.8m

Company HQ

Jefferson Park, Los Angeles, CA

Leadership

Eddy Lu

(Co-Founder & CEO)

Eddy graduated from the University of California, Berkeley with a degree in Computer Science. Prior to co-founding GOAT in 2010, he was the owner of Bear Papas, an Equity Researcher at Lehman Brothers, and a Consultant at Deloitte.

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