Senior Customer Intelligence Analyst

Roku•New York, NY

6d•$127,500 - $170,400•Hybrid

About The Position

Roku is seeking a highly analytical and commercially minded Senior Customer Intelligence Analyst to join the team. This role is ideal for a strategic thinker who is passionate about unlocking customer behavior insights and translating them into tangible business impact. You will excel at analyzing data, developing compelling narratives, identifying key opportunities and risks, and presenting clear recommendations that influence strategic decisions and shared roadmaps across the organization. While you will possess a strong technical foundation for data manipulation and analysis, your primary focus will be on delivering high-impact insights and driving business outcomes. You will also champion analytical efficiency, leveraging cutting-edge AI tools to optimize your workflow. This is a unique opportunity to shape customer strategy and contribute to Roku's growth by turning complex data into actionable, decision-ready outputs.

Requirements

3+ years of experience in a business analyst, customer analyst, or similar analytical role, with a strong track record of driving measurable business impact within a consumer technology, subscription, or streaming environment
A strong grasp of business dynamics and how analytical insights translate into strategic value and decision-making
Strong hands-on proficiency in SQL for data extraction, manipulation, and analysis
Expertise in data visualization tools such as Tableau or Looker, with a demonstrated ability to create impactful and user-friendly dashboards and reports
Experience applying AI tools such as LLM-based code assistants to enhance analytical efficiency and optimize workflow
Exceptional ability to communicate complex analytical findings and strategic recommendations clearly and persuasively to diverse audiences, including senior leadership
A natural curiosity for understanding customer behavior, market trends, and identifying new opportunities and risks through data
A collaborative working style and ability to work effectively with cross-functional teams, including product, marketing, engineering, and data science
A Bachelor's or Master's degree in Business Analytics, Economics, Statistics, Computer Science, Marketing, or a related quantitative field

Responsibilities

Partnering directly with Customer Intelligence and Retention leaders to define key business questions, translate them into analytical problems, and deliver decision-ready insights
Owning the full analytical lifecycle from scoping business challenges and defining success metrics to extracting and manipulating data using SQL, performing deep-dive analysis, synthesizing findings, and delivering compelling data-driven stories and recommendations
Applying a strong understanding of business drivers and Roku's ecosystem to identify strategic opportunities and potential risks
Delivering impactful output that goes beyond dashboards, including presentations, interactive reports, and detailed commentaries that drive business action
Driving stakeholder alignment by clarifying objectives, assumptions, and decision points, and acting as a trusted advisor to ensure analytical outputs are consumable and directly address business needs
Developing and executing efficient SQL scripts to extract, transform, and analyze large datasets, and partnering with Data Engineering and Research Data Scientists to understand underlying data models and ensure data quality
Creating dynamic and insightful dashboards, reports, and presentations using tools such as Tableau and Looker that clearly communicate complex findings to both technical and executive audiences
Actively utilizing AI tools and packages such as Claude Code, Codex, and other LLM-based assistants to automate data extraction, accelerate analysis, and streamline the generation of high-quality analytical outputs
Understanding and leveraging outputs of advanced analytical models, causal inference studies, and segmentation built by more technical data science teams to drive business strategy