Marketing AI Analytics Coordinator

Tubi•San Francisco, CA

3d•Hybrid

About The Position

This role is part of our Maker Program, an 18-month rotational experience designed for early-career talent looking to build foundational skills across marketing, creative, and consumer-facing functions. The Analytics Development role sits within our Marketing Data Science team and is part of a broader rotational program within the marketing organization that will give people the opportunity to work on a wide range of impactful projects. In this role, you will develop tools and automate workflows that join analytics capabilities with real-world needs — making Tubi's most important growth playbooks faster, more consistent, and more seamless to execute. You'll write code in Python/SQL and other languages using tools such as Cursor or Claude Code, build and manage AI agents that handle high-volume analytics and operational workflows, and work shoulder-to-shoulder with growth marketers, data scientists, and business stakeholders.

Requirements

Up to three years of combined professional experience, including internships; recent graduates welcome
Technical degree (CS, data science, statistics, engineering, math, or similar) preferred but not required
Strong foundation in Python and comfort writing code for automation, data processing, or internal tooling
Comfort with SQL, data manipulation, and thinking in terms of data flows
Must have U.S. work authorization; we are unable to sponsor visas for this program
Committed and available to work for the entire 18-month length of the program

Nice To Haves

Exposure to cloud tooling, workflow orchestration, or ML/analytics platforms is a plus
Strong business curiosity — you want to understand why a stakeholder is asking a question, not just answer it

Responsibilities

Build and improve internal tools, automations, and lightweight applications that support recurring analytical and operational workflows across Growth Marketing
Write production-ready Python and SQL to power data workflows, self-serve tooling, and decision-support systems
Develop systems that automate repeatable analytical tasks, reduce manual work, and improve speed and consistency across key growth playbooks
Use AI and LLM-based tools where appropriate to support analytics, workflow automation, and stakeholder-facing solutions
Partner closely with Marketing Data Science, Growth Marketing, and data engineering teams to identify high-leverage opportunities for automation and tool development
Help design workflows that connect business questions to usable data, analysis, and recommendations more quickly
Evaluate emerging tools and technical approaches that can improve the speed, quality, or scalability of analytics work
Contribute to best practices for building reliable, maintainable tools in a fast-moving, data-driven environment