Senior Analytics Engineer

Santa Monica, California, United States

GumGum is The Mindset Company™ transforming advertising. We’re an advertising technology company delivering results by matching brands with people in the right mindset in the moments that matter. Our platform is powered by the Mindset Graph™, our AI-driven data engine that processes billions of real-time contextual, creative, environmental, and historical signals to match every ad with the most receptive audience. The result is advertising that drives meaningful outcomes for advertisers and publishers, and is more relevant for consumers.

We were founded in 2008 and are headquartered in Santa Monica, California, operating in over 19 markets across North America, Europe, Japan, and Australia.

Our principles guide our work every day and are as follows:

  • Customer-Obsessed: We’re focused on advertising solutions that solve needs and drive success for clients and partners.
  • Make it Happen: We have a bias for action and take ownership to deliver results.
  • Always Innovate: We push boundaries with creativity and technology.
  • Foster Belonging: We ensure colleagues feel included, supported, and empowered to thrive.

To be a part of The Mindset Company™ transforming advertising, please visit www.gumgum.com/careers.

The Analytics Engineering team at GumGum owns the company’s reporting layer and the data pipelines that power decision-making across the business. As a Senior Analytics Engineer, you will play a critical role in designing, building, and scaling trusted datasets, metrics, and analytics products that serve stakeholders across Product, Sales, Operations, and Leadership.

This role sits at the intersection of analytics, data engineering, and business problem-solving. You will be responsible not only for technical execution, but also for shaping standards, improving data reliability, and enabling self-service analytics at scale. You will partner closely with Analytics, Data Engineering, and business teams to translate complex business questions into durable data solutions.

Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. For this position, in-person/office collaboration is required 2 days per week, supporting a balanced approach to flexibility and team engagement.

What You'll Achieve

  • Lead the design and development of foundational data models, metrics, and reporting layers that power GumGum’s analytics ecosystem
  • Own and evolve end-to-end analytics data pipelines, from data modeling to curated datasets and dashboards
  • Build and maintain scalable workflows using Airflow, Snowflake, and related orchestration and warehousing tools
  • Develop high-impact dashboards and self-service analytics in Looker, ensuring consistency, accuracy, and usability
  • Contribute to data governance and discovery through tools such as Atlan (or similar metadata/catalog solutions)
  • Set best practices for SQL, data modeling, testing, and documentation within the Analytics Engineering team
  • Mentor junior engineers and contribute to the technical direction of the team.
  • Participate in an on-call rotation to support critical analytics pipelines and reporting, ensuring data reliability and timely issue resolution

Skills You'll Bring

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
  • 5+ years of experience in Analytics Engineering, Data Engineering or related role
  • Proven ability to partner effectively with cross-functional stakeholders
  • Strong expertise in SQL, with experience building robust analytical data models
  • Hands-on experience with Snowflake (or similar cloud data warehouses)
  • Experience orchestrating workflows with Airflow (or equivalent tools)
  • Solid experience building and maintaining dashboards and semantic layers in Looker (or similar BI tools)
  • Familiarity with data cataloging, governance, or lineage tools such as Atlan
  • Exposure to Spark or distributed data processing frameworks is a plus
  • Experience working with advertising, media, or ad-tech data is a plus
  • Experience operating in a centralized analytics engineering or reporting-ownership model is a plus
  • Proficiency in Python for data pipelines, transformations, and automation

What We Offer

At GumGum, competitive base pay is a part of a total rewards package which also includes benefits, an emphasis on recognition, development, and wellness. The reasonable estimated base pay range for this role is from $186,000 - $ 215,000 annually.  The actual amount may be higher or lower. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

Awards

  • 2025 & 2026 Digiday Media Awards Europe Best Contextual Targeting Offering
  • 2025 AdExchanger Awards AI Innovators, Technology & Service Provider, Finalist
  • 2025 MARKETECH APAC Marketing Technology Awards Silver Winner for Best Contextual Advertising Tech Platform
  • 2025 Inc. B2B Power Partner
  • 2025 ExchangeWire The Wires Global Best Client Services team winner (GumGum UK)
  • 2025 and 2026 BuiltIn Best U.S. Midsize Companies to Work For

DEIB and EEO Statement

GumGum is proud to be an equal opportunity employer. We're committed to creating a workplace where people feel respected, supported, and able to do their best work. We believe different perspectives make us stronger and lead to better outcomes—for our teams, our partners, and our business. We strive to build an environment where individuals are treated fairly, opportunities are accessible, and everyone is held to a high standard of respect and accountability.

We're always learning and evolving as a company, and we continue to take thoughtful steps to support our people and strengthen our culture.

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