As a Marketing Analytics Specialist at Tubi, your day-to-day activities will directly shape the growth trajectory of the platform. You can expect to own the following core responsibilities:

• Campaign Performance Measurement – Monitor, analyze, and report on the performance of paid acquisition campaigns across programmatic, paid social, search, and CTV channels, ensuring that marketing spend is optimized to meet CAC and LTV targets.
• Analytical Framework Development – Design, build, and maintain automated dashboards (using tools like Tableau or Looker) and data pipelines that provide marketing stakeholders with real-time visibility into key performance indicators.
• A/B Testing & Experimentation – Partner with growth marketing teams to design, execute, and analyze rigorous A/B and multivariate tests for creative assets, landing pages, and audience targeting strategies.
• Cohort & Retention Analysis – Deeply analyze user post-install behavior to understand the relationship between different acquisition channels and long-term streaming engagement, helping the business identify and target high-value viewer segments.
• Cross-Functional Collaboration – Act as the primary analytical partner for marketing leads, creative directors, and product teams, translating raw data into strategic growth initiatives and helping teams set realistic performance benchmarks.

To be competitive for this role at Tubi, candidates should possess a strong blend of technical expertise, marketing domain knowledge, and communication skills.

Technical Skills

• SQL Proficiency – Strong SQL skills are essential. You must be comfortable writing complex queries, joining disparate datasets, and optimizing queries for large-scale data warehouses (e.g., Snowflake, Redshift).
• Data Visualization – Proven experience building intuitive, self-service dashboards in BI tools such as Tableau, Looker, or similar platforms.
• Analytics Tools – Familiarity with mobile attribution and web analytics platforms (such as AppsFlyer, Adjust, Google Analytics, or Amplitude).
• Programming (Nice-to-Have) – Basic proficiency in Python or R for data manipulation, statistical analysis, or automating tasks is a strong plus.

Experience & Soft Skills

• Professional Experience – Typically 2 to 4 years of experience in marketing analytics, growth analytics, business intelligence, or a highly analytical role within a digital consumer-facing company (ideally mobile apps, streaming, or ad-supported tech).
• Domain Expertise – A solid understanding of performance marketing metrics (CAC, LTV, ROAS, CPM, CTR) and digital marketing channels.
• Structured Communication – Exceptional written and verbal communication skills, with a proven ability to present data-driven insights clearly to both technical and non-technical audiences.

Q: How technical is the interview process for this role? A: The technical requirements are average but highly practical. You will not face complex software engineering algorithms, but you must demonstrate strong SQL skills, data visualization expertise, and a highly structured approach to analyzing marketing data during the take-home case study.

Q: What is the most challenging part of the Tubi interview process? A: Candidates frequently report that the take-home case study is the most challenging stage. It is designed to be highly open-ended with minimal direction, testing your ability to define your own analytical framework, formulate business hypotheses, and build a cohesive narrative from raw data.

Q: How does Tubi's business model impact the marketing analytics role? A: Because Tubi is a free, ad-supported streaming platform, user retention and continuous engagement are critical. Unlike subscription services where a sign-up guarantees monthly revenue, Tubi must continuously bring users back to watch ads. Your analytics will focus heavily on identifying channels that acquire highly engaged, repeat viewers rather than just high-volume app installs.

Q: What is the typical timeline for the interview process? A: The interview process can take anywhere from 3 to 6 weeks. Because the process involves a take-home assignment and cross-functional panel interviews, the timing can vary. Candidates are encouraged to maintain active communication with their recruiter to ensure smooth progression.

To maximize your chances of success during the Tubi selection process, keep these practical, insider tips in mind:

• Embrace the Ambiguity of the Case Study: Do not be discouraged by a lack of explicit instructions on the take-home assignment. Tubi wants to see how you think when there is no roadmap. Clearly document your assumptions, explain why you chose your methodology, and focus on delivering a structured, logical presentation.

• Always Connect Data to Business Decisions: When answering case-study or behavioral questions, never stop at the analytical finding. Always explain the "so what?" For example, instead of just saying "this campaign had a low click-through rate," explain how that insight should change the marketing team's creative strategy or budget allocation.
• Tailor Your Message to Your Interviewers: During the panel rounds, you will speak with both analytical peers and creative marketing managers. Adjust your communication style accordingly. Keep it highly technical and methodological with the analysts, but focus on high-level strategy, business impact, and clear visuals when presenting to marketing stakeholders.

• Prepare for Cross-Functional Questions: Be ready for questions from non-technical team members, such as social media or brand managers. They want to know that you respect their domain expertise and view data as a tool to support and elevate their creative work, rather than a mechanism to restrict it.

The Marketing Analytics Specialist position at Tubi offers a unique opportunity to drive growth for a leading streaming service at massive scale. By combining technical analytical execution with strategic marketing insights, you will have a direct hand in shaping how millions of users discover and consume content.

To succeed in this competitive process, focus your preparation on mastering marketing attribution frameworks, structuring ambiguous datasets, and refining your ability to present data-driven stories to cross-functional teams. Approach the take-home case study with confidence, treating its open-ended nature as an opportunity to showcase your strategic thinking and self-direction.

For more community insights, detailed interview reviews, and preparation resources tailored to roles like this, you can explore additional materials on Dataford. With focused preparation, a clear understanding of Tubi's ad-supported business model, and a structured approach to problem-solving, you are well-positioned to ace your interviews.

The salary data above outlines the typical compensation landscape for analytics professionals in this space. When evaluating your offer or discussing salary expectations with your Tubi recruiter, consider your experience level, the cost of living in your location, and the total compensation package, which often includes base salary, bonuses, and equity components. Use this data to benchmark your expectations and negotiate confidently.