Analyst, Revenue Analytics & Insights

Roku•New York, NY

7h•$105,000 - $130,000•Hybrid

About The Position

We’re seeking an Analyst to join our Revenue Analytics team and help automate, scale, and operationalize data-driven insights for Ad Sales. Your focus will be SQL and Tableau 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 New York City.

Requirements

SQL & Tableau Expertise: 3–5 years of professional experience with deep proficiency in SQL and Tableau. You have a proven track record of designing intuitive dashboards and building the underlying data pipelines to power them.
Data Warehouse Management: Experience maintaining and scaling data environments for a large set of users. You are comfortable pulling from warehouses, automating workflows, and ensuring data accessibility for diverse stakeholder teams.
Business Acumen & Storytelling: Strong business judgment with the ability to translate complex datasets into clear, compelling narratives. You can collaborate effectively with non-technical stakeholders to turn data into actionable strategy.
CRM Proficiency: Hands-on experience working with CRM systems, specifically Salesforce, to track and analyze sales performance.
Industry Knowledge: Familiarity with the digital advertising and ad tech ecosystem (DSPs, SSPs, ad servers; OTT/CTV is a major plus) and a history of delivering analytical projects from end-to-end.

Nice To Haves

Experience or willingness to learn Python for data automation or modeling.
Applied statistical skills (e.g., regression, forecasting, or hypothesis testing) to solve real-world business problems.

Responsibilities

Design Impactful Visualizations: Build and maintain intuitive Tableau dashboards for sellers, managers, and leadership to drive effective, data-driven decision-making.
Manage Sales Data Infrastructure: Build and optimize robust SQL-driven pipelines to feed the sales data warehouse, ensuring seamless data flow, accessibility, and reliability for a large set of users.
Partner with Sales Strategy: Work hand-in-hand with the Sales Strategy team to translate business problems into analytical frameworks, delivering sharp, actionable insights and measurable recommendations.
Drive Data Adoption & Support: Evangelize the use of self-serve datasets through stakeholder training, while monitoring support channels to help users onboard and resolve data discrepancies.
Ensure Data Integrity: Perform regular data quality checks, monitoring, and documentation to ensure high reliability and accuracy across all reporting and warehouse assets.