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Lead Analytics Engineer



Data Science
Culver City, CA, USA
Posted on Friday, April 12, 2024


Spotter, named one of TIME100's Most Influential Companies this year, empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale. As the top provider of creator-friendly growth capital, Spotter tailors our investments to meet the unique needs of each creator we partner with, giving them the freedom to create without compromise.

Creators are free to reinvest their funds however they choose, from hiring a team, to building their own production studios, and everything in between, all while maintaining total control over their catalogs, their channels, and their future earnings. In addition to funding, Spotter provides creators with in-depth data insights into the performance of their existing content, enabling them to leverage the full value of their library, as well as the value of future uploads and how they can improve performance in the future.

Featured in Forbes, Fast Company, Variety, Axios, and more, Spotter has already deployed over $850 million to YouTube creators to reinvest in themselves and accelerate their growth. Spotter has licensed content that consists of over 725,000 videos, which generate 88 billion monthly watch-time minutes. With our curated premium video catalog, we deliver a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe.

*Position is based in Los Angeles*

What You’ll Do

  • Facilitate projects and ad-hoc data pulls with Data Engineers
  • Build and deliver clean, transformed, and analytics-ready data sets
  • Build performant, scalable, and extensible data models
  • Establish and maintain best practices to coding formats, naming conventions, and version control
  • Create and maintain dashboards that serves teams across the organization

Who You Are

  • BS or BA in a technical or quantitative field
  • 4 - 6 years of work experience in analytical/quantitative roles
  • Advanced with SQL and good Python programming skills
  • Experience with CRUD functions
  • Experience with data orchestration tools (Airflow)
  • Willing to research and learn completely new technologies and tools such as API and Dashboarding tools
  • Extensive experience with ETL process using SQL or Python
  • Experience with dashboarding tool, complex outputs in any of the following:
    • Power BI
    • TIBCO Spotfire
    • Tableau


  • Experience with Redshift
  • Experience with DBT
  • Knowledge of the YouTube or Content Creator industry

Why Spotter

  • Medical & vision insurance covered up to 100%
  • Dental insurance
  • 401(k) matching
  • Stock options
  • Autonomy and upward mobility
  • Diverse, equitable, and inclusive culture, where your voice matters.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Los Angeles. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The overall market range for roles in this area of Spotter are typically: $80K-$500K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include annual discretionary bonus and equity.

Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws.

Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.