Avatar for GOAT Group

World’s largest marketplace for authentic sneakers

Data Analyst

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In this role you will:

  • Use data to drive business decisions across multiple teams within the company
  • Support ideation of new features and business initiatives from beginning to end by evaluating potential impact, implementing new tracking, and performing post analysis
  • Design dashboards to support decision making, quick analyses, and high level reporting
  • Become an expert of our data and develop resources to encourage a data-driven environment by documenting work and contributing to dbt
  • Conduct ad hoc analyses as well as deep dives with a focus on growing and improving the business
  • Be flexible to manage other assignments as they come up

We are looking for:

  • BS degree
  • 1.5+ years experience in an analytical environment (e.g. consulting firm, data role, etc)
  • Advanced working knowledge of SQL and the ability to quickly learn internal tools; working knowledge of visualization tools; knowledge of Python preferred
  • Excellent communication and relationship building skills with an ability to prioritize, negotiate, and work with a variety of internal and external stakeholders
  • A quick learner, a self-starter, able to work independently, and you're willing and able to handle the pressures of an increasing level of responsibility
Location
Los Angeles
Job type
Full-time
Visa sponsorship
Not Available

Healthcare

Medical, dental and vision coverage

Unlimited vacation

Company meals

Daily catered lunches from LA’s best restaurants

Competitive salary

GOAT Group at a glance

World’s largest marketplace for authentic sneakers

GOAT Group focuses on Mobile, E-Commerce, Mobile Commerce, and Social Commerce. Their company has offices in Los Angeles and New York City. They have a large team that's between 501-1000 employees. To date, GOAT Group has raised $197.6M of funding; their latest round was closed on February 2019.

You can view their website at http://www.goatgroup.com or find them on Twitter, Facebook, LinkedIn, and Product Hunt.

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