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Roku

Streaming hardware and ad-supported content

Senior Manager - Marketing Analytics

Data SciencePosted on Nov 9
Full-timeSanta Monica, CA, USA

About the Job

Requirements

  • At least 10 years of relevant experience in marketing analytics, data science, or a closely related field, with a record of influencing marketing strategy and investment decisions.
  • At least 5 years of experience leading analytics or data science teams, including managing and developing managers.
  • Deep expertise in marketing effectiveness measurement, including incrementality testing, media mix modeling, and using measurement to inform budget allocation.
  • Strong grounding in statistics, experimental design, and causal inference, with judgment to choose methods suited to the business question and available data.
  • Hands-on proficiency in SQL and Python or R, and technical depth to review analyses, challenge assumptions, and guide implementation.
  • Experience working with analytics engineers and data engineering partners to build reliable datasets and measurement capabilities.
  • Experience translating complex findings into clear recommendations and influencing senior stakeholders, including when evidence is incomplete or challenges existing assumptions.
  • Experience leading distributed teams and collaborating across functions, regions, and time zones.

Responsibilities

  • Lead and develop a team of data scientists, analytics engineers, and managers by setting clear expectations, coaching managers, and supporting hiring and career development.
  • Own the Marketing Analytics roadmap, balancing measurement capabilities that serve multiple businesses with the priorities of individual marketing teams.
  • Partner with senior Marketing, Finance, and business leaders to define success, identify decisions analytics needs to support, and translate those needs into a prioritized plan.
  • Establish and improve incrementality testing and media mix modeling to estimate marketing's contribution to business results and inform budget allocation.
  • Guide the design, execution, and analysis of experiments, including audience and geographic holdouts.
  • Apply causal inference methods when randomized testing is not feasible, and communicate the limits of the evidence.
  • Turn measurement findings into recommendations about where to invest, what to test next, and which marketing activities to adjust or scale.
  • Oversee marketing-focused analysis of retail and direct-to-consumer performance, conversion funnels, customer segmentation, and targeting.
  • Guide analytics engineering work that makes marketing data reliable and reusable, partnering with Data Engineering and Business Intelligence teams on data models, metric definitions, quality, and reporting.
  • Communicate findings and recommendations to executives, explaining business implications, trade-offs, and uncertainty in clear language.
  • Coordinate priorities and ways of working across a global team, maintaining technical standards while developing team members' autonomy and judgment.

About the Company

Roku

Streaming hardware and ad-supported content

Roku provides a streaming entertainment ecosystem built around hardware devices (Roku TVs, streaming players, smart home gear, and audio gear) and a purpose-built operating system. Its devices run the Roku OS to deliver apps and streaming content to televisions. The Roku Channel offers free, ad-supported content and Roku Originals are exclusive programs produced in-house, bundled with advertising revenue and content distribution. The business model blends hardware sales, advertising, and distribution of content through its platform. Roku differentiates itself by offering a wide range of affordable devices, a centralized ad-supported free channel, and in-house originals, creating an integrated yet open platform for apps and content. The company’s goal is to grow a large, easy-to-use streaming ecosystem that combines hardware, software, and content to reach many households and monetize through device sales, ads, and distribution deals.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
2002

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