Senior Manager, Marketing Analytics
About The Position
The Senior Manager, Marketing Analytics leads a global team of analysts, data scientists, and BI engineers responsible for measuring how marketing influences business results across ecommerce, retail, subscriptions, and advertising-supported video on demand (AVOD). The role sets team strategy, develops managers and technical talent, and guides measurement of brand, performance, and lifecycle marketing across paid and owned channels. The work helps leaders understand which investments generate incremental results, where to allocate budgets, and how to improve marketing performance. The role combines people leadership with technical depth and hands-on analytical experience, including evaluating causal methods, reviewing analytical work, and working directly with data when needed. The team is distributed, with colleagues in Amsterdam and the UK, and partners in Taiwan and other regions. The position collaborates with Marketing, Finance, Product, Engineering, and other analytics teams. Roku's Core Analytics Team is a centralized hub of analytics excellence that works with Engineering, Product, and Business teams to deliver data-driven insights and capabilities that guide stakeholders, shape strategies, and enhance user experiences.
Requirements
- 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.
- 5+ years of experience leading analytics or data science teams, including experience 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 the judgment to choose methods suited to the business question and available data.
- Hands-on proficiency in SQL and Python or R, and the 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, 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 the 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 isn't 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 DTC 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.
Benefits
- Health insurance, including healthcare options that may include medical, dental, and vision coverage.
- Equity awards.
- Life insurance.
- Disability benefits.
- Parental leave.
- Wellness benefits.
- Paid time off.
- Global access to mental health and financial wellness support and resources.
- Commuter benefits.
- Retirement options, including 401(k) or pension.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
