Overview
Spotter empowers the world's best Creators with capital, data, and insights to scale their programming into sustainable media businesses. Through these partnerships, Spotter helps brands partner with creator-led franchises to unlock growth, amplify impact, and build lasting cultural relevance.
Spotter has already deployed over $1 billion to YouTube Creators to reinvest in themselves and accelerate their growth. With a premium catalog that spans over 725,000 videos, Spotter generates more than 88 billion monthly watch-time minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe. For more information about Spotter, please visit https://spotter.com.
What You’ll Do
As a Director, Analytics Engineering at Spotter, you will lead efforts to deliver cutting-edge analytics engineering solutions that empower data-driven decision-making across the organization. You will play a key role in shaping the analytics engineering strategy, and driving innovation to ensure the organization maintains a competitive edge. In this role, you will collaborate with cross-functional teams, provide technical guidance and mentorship across the team, and establish best practices for Analytics Engineering.
Responsibilities
- Partner with data engineers to ensure smooth, efficient, resilient, and agile knowledge delivery pipelines.
- Interface with other business units to understand analytical needs and deliver datasets/tools in response.
- Identify and capitalize on opportunities to improve ETL (Extract, Transform, Load) processes, increasing scalability, security, extensibility, efficiency, and alignment with organizational goals.
- Collaborate closely with data scientists, business analysts, and senior stakeholders to define analytics requirements and deliver innovative technical solutions that drive business outcomes.
- Collect, organize, structure and profile data to build Analytics Ready Datasets for discovery of meaningful insights.
- Develop, implement, and enforce methodologies for rigorous data quality checks and validation processes to ensure reliability, accuracy, and trustworthiness of data assets.
- Collaborate efforts to identify and resolve data-related challenges and inconsistencies in partnership with data engineering and analytics teams.
- Provide technical guidance and mentorship to analytics engineers, fostering growth, collaboration, and knowledge-sharing across the team.
- Develop and manage sophisticated dashboards, reports, and self-service reporting tools using TIBCO Spotfire, Power BI, and other advanced visualization platforms to surface important data and provide actionable insights to stakeholders.
- Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
- Quickly learn technical topics and communicate limitations when encountered.
- Navigate ambiguous situations with momentum necessary to overcome uncertainty.
Who You Are
- Bachelor’s degree in a relevant field such as Engineering, Computer Science, Analytics, Applied Math, Statistics, or Business Analytics; advanced degrees are highly preferred.
- 7+ years of experience in analytics engineering, data engineering, or a related field.
- Expertise in designing and maintaining scalable data pipelines and advanced ETL processes, with proficiency in relevant tools and technologies including Python, SQL, DBT, and at least one popular data warehousing platform (e.g. Redshift, BigQuery, Databricks, Snowflake, etc)
- Strong technical background in data instrumentation, data QA, and maintaining data accuracy across complex environments.
- Proven track record of developing and implementing automated reporting solutions and visualization tools, leveraging platforms such as TIBCO Spotfire and Power BI.
- Demonstrated ability to collaborate effectively with cross-functional teams and stakeholders at all levels, translating business needs into technical solutions.
- Strong problem-solving skills with the ability to navigate ambiguity and provide strategic direction for analytics initiatives.
- Exceptional communication and interpersonal skills, with experience guiding team members to success.
Note: Due to the proliferation of similarly capable business products today, skills in equivalent products are acceptable
Preferred
- Knowledge of the YouTube or Content Creator industry
Personal Attributes
- Strategic thinker with a proactive and forward-looking approach to analytics challenges and opportunities.
- Detail-oriented and process-driven, with a passion for driving data accuracy and operational excellence.
- Collaborative teamwork and knowledge sharing across diverse teams.
- Resilient and adaptable in fast-paced, evolving environments, demonstrating agility in responding to shifting priorities.
- Self-motivated and independent, capable of managing complex projects with minimal supervision while delivering high-quality outcomes.
- Committed to continuous learning and staying ahead of industry advancements to bring innovative ideas to the organization.
Why Spotter
- Medical insurance covered up to 100%
- Dental & vision insurance
- 401(k) matching
- Stock options
- Discretionary PTO
- Complimentary gym access
- 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 Culver City. 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. A reasonable estimate of the current pay range is: $160K-$180K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include an 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.
Skills Required
- Bachelor's degree in Engineering, Computer Science, Analytics, Applied Mathematics, Statistics, Business Analytics, or a related field
- 7+ years of experience in analytics engineering, data engineering, or a related field
- Expertise designing and maintaining scalable data pipelines and advanced ETL processes
- Proficiency with Python, SQL, dbt, and at least one data warehousing platform such as Redshift, BigQuery, Databricks, or Snowflake
- Strong technical background in data instrumentation, data quality assurance, and maintaining data accuracy
- Experience developing automated reporting solutions and visualization tools using platforms such as TIBCO Spotfire and Power BI
- Ability to collaborate with cross-functional teams and stakeholders and translate business needs into technical solutions
- Strong problem-solving skills and ability to provide strategic direction for analytics initiatives
- Exceptional communication and interpersonal skills, including experience guiding team members to success
- Advanced degree
- Knowledge of the YouTube or content creator industry
What We Do
Spotter provides cash to Creators to grow or diversify their business while retaining their freedom. Dedicated to empowering Creators and growing the Creator Economy, with Spotter, Creators receive cash for their catalogs through licensing their existing videos (and/or future video uploads) and receive a payout instantly. Creators then use the funds to fuel their growth through hiring resources, investing, or anyway they choose, all while remaining independent. In addition to funding, Spotter provides Creators with in-depth data insights into the performance of all existing content to further help educate the Creator on the value of their library, the value of future uploads and how they can improve performance in the future. Founded in 2019 to help YouTube creators scale their brands, as of January 2022, Spotter has deployed over $300 million to YouTube creators to reinvest in themselves and accelerate their growth. Spotter has licensed content that consists of over 100,000 videos, generating 40 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. Being at the forefront of the Creator Economy, we have incredible teams, doing exceptional work. If you want to find a true sense of belonging with individuals who are incredibly passionate about the work they are doing, where we put people over profits, transparency over mystery and radical change over gradual growth (we go big and take ownership of any risk!), then you’ve come to the right place.









