Sr. Analyst, Revenue Analytics and Insights

Roku • New York, NY

66d

About The Position

We’re seeking a Senior Analyst to join our Revenue Analytics team and help automate, scale, and operationalize data-driven insights for Ad Sales. Your focus will be Python- and SQL-driven automation, analytics, and data visualization that improve workflow efficiency, data accessibility, and decision quality. You’ll turn ambiguous business questions into clear analyses, initiate proofs of concept and bring them into production, and partner closely with cross-functional stakeholders across Sales, Inventory, and Finance. The ideal candidate must be able to balance day-to-day responsibilities and long-term strategic projects within a fast-paced environment. They should be a self-starter and comfortable recommending solutions in an ambiguous environment with guidance. The position will report to the Manager, Ad Revenue Reporting Automation and is based in either New York City or Boston.

Requirements

• Deep proficiency in Python and SQL, plus strong business judgment and the ability to collaborate with non-technical stakeholders
• 5–7+ years in analytics or data roles, including experience building pipelines, pulling from warehouses, and automating workflows
• Strong BI experience (Tableau and/or Streamlit), including dashboard design, performance tuning, and governance/permissions
• Applied statistical skills (e.g., regression, forecasting, hypothesis testing) to solve real business problems
• Familiarity with digital advertising and ad tech (DSPs, SSPs, ad servers, DMPs; OTT/CTV a plus), with a track record of delivering projects end-to-end

Responsibilities

• Build Python-driven reporting and SQL pipelines to automate data extraction, transformation, modeling, and ad revenue analytics
• Design, maintain, and scale Tableau/Streamlit dashboards and self-serve data products for on-demand stakeholder insights
• Translate business problems into analytical frameworks and deliver clear narratives, recommendations, and measurable outcomes
• Ensure end-to-end data quality with checks, tests, monitoring, and documentation to improve reliability and reuse
• Partner with Sales, Operations, Finance, and Product to prioritize initiatives, drive adoption, and deliver impact—leveraging GenAI where appropriate

Benefits

• health insurance
• equity awards
• life insurance
• disability benefits
• parental leave
• wellness benefits
• paid time off
• global access to mental health and financial wellness support and resources
• Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed