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FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. FreeWheel is looking for a Sr. Analyst to join our Global Reporting and Analytics team. The Global Reporting and Analytics team acts as strategic partners across the organization by helping stakeholders make fast-paced, data-driven decisions. This role is a vital component for FreeWheel's buyer-side business, which enables the most premium video inventory owners and buyers - such as TV Programmers, MVPDs, major digital media publishers, advertisers, and agencies - to drive successful business outcomes at scale. In this role, you will work cross-functionally with internal teams to uncover growth opportunities, identify product enhancements, and develop robust reporting solutions. The successful candidate will require excellent communication and problem-solving skills, and the ability to think strategically while being analytical and detail-oriented. This position is not eligible for visa sponsorship. Applicants must be authorized to work for Comcast in the United States without a current or potential future need for sponsorship. This role is primarily virtual; however, onsite attendance is required for meetings or team gatherings. Therefore, candidates must be within a commutable distance to FreeWheel’s New York City office located at 1407 Broadway.
Job Responsibility:
Develop optimized end‑to‑end data pipelines — with heavy use of SQL — to support data‑driven decision‑making across the organization
Collaborate with data engineering teams and FreeWheel data consumers to monitor data model relevancy as products and stakeholder needs evolve, leveraging advanced SQL queries to validate and troubleshoot datasets
Design automated reporting solutions and dashboards using BI tools like Looker, including building and maintaining SQL‑based data models that power self‑service analytics
Conduct regular analysis of large‑scale datasets using complex SQL queries to uncover opportunities to improve sales performance, inventory management, and yield strategies
Maintain data quality, accuracy, and cleanliness through ongoing data validations and issue resolution
Create data literacy documentation and training materials to empower users to leverage self-service reporting tools at their disposal
Requirements:
Bachelor's degree in quantitative field highly preferred
3-5 years of experience using data and analysis to drive business outcomes
Possesses excellent SQL skills with the ability to analyze and manipulate large datasets
Experience with Python
Experience creating and maintaining dashboards in a visualization BI tool. Looker experience is a plus
Skilled in synthesizing detailed analysis into clear narratives, facilitating strategic discussions across technical and business stakeholders