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Spotter

Non-dilutive creator financing with ad licensing

Director, Analytics Engineering

Data EngineeringConfirmed live in the last 24 hours
Full-timeCulver City, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in a relevant field such as Engineering, Computer Science, Analytics, Applied Math, Statistics, or Business Analytics is required; advanced degrees are highly preferred.
  • At least 7 years of experience in analytics engineering, data engineering, or a related field.
  • Expertise designing and maintaining scalable data pipelines and advanced extract, transform, and load processes, with proficiency in Python, SQL, DBT, and at least one data warehousing platform such as Redshift, BigQuery, Databricks, or Snowflake.
  • A strong technical background in data instrumentation, data quality assurance, and maintaining data accuracy across complex environments.
  • A proven track record of developing and implementing automated reporting solutions and visualization tools, using platforms such as TIBCO Spotfire and Power BI.
  • Ability to collaborate effectively with cross-functional teams and stakeholders at all levels, translating business needs into technical solutions.
  • Strong problem-solving skills and the ability to navigate ambiguity and provide strategic direction for analytics initiatives.
  • Experience guiding team members to success.
  • Equivalent products are acceptable in place of the similarly capable business products named.

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 and tools in response.
  • Identify and capitalize on opportunities to improve extract, transform, and load processes, increasing scalability, security, extensibility, efficiency, and alignment with organizational goals.
  • Collaborate with data scientists, business analysts, and senior stakeholders to define analytics requirements and deliver technical solutions that drive business outcomes.
  • Collect, organize, structure, and profile data to build analytics-ready datasets for discovering meaningful insights.
  • Develop, implement, and enforce methodologies for rigorous data quality checks and validation processes to ensure data assets are reliable, accurate, and trustworthy.
  • Collaborate with data engineering and analytics teams to identify and resolve data-related challenges and inconsistencies.
  • Provide technical guidance and mentorship to analytics engineers, fostering growth, collaboration, and knowledge-sharing across the team.
  • Develop and manage dashboards, reports, and self-service reporting tools using TIBCO Spotfire, Power BI, and other visualization platforms to surface important data and provide actionable insights.
  • Work with large volumes of digital data from web, app, and API sources in a big data environment.
  • Learn technical topics quickly and communicate limitations when encountered.
  • Navigate ambiguous situations with the momentum necessary to overcome uncertainty.

Desired Qualifications

  • Knowledge of the YouTube or content creator industry.

About the Company

Spotter

Non-dilutive creator financing with ad licensing

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Company size
51-200
Company stage
Late Stage VC
Total funding
$251.5M
Headquarters
Culver City, CA
Founded
2019

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