Content Cost Analytics & Reporting
Analyze and report on content costs (licensing, contributors) to assess impact on revenue, margins, and content ROI, and integrate these metrics into centralized data models and the Single Source of Truth in partnership with Data Engineering.
Automate monthly and quarterly content cost reporting by replacing manual spreadsheets with dynamic Looker dashboards, providing Finance and Partnerships teams with real-time visibility into spend vs. returns.
BI Development for Partner Solutions
Design and build scalable data sources, models, and feeds to support B2B analytics, including partner-facing reporting in Voltax for content performance and earnings.
Develop and maintain intuitive Looker dashboards tracking key B2B KPIs (e.g., video usage, syndication metrics, revenue share), ensuring data accuracy, consistency, and stakeholder trust.
Insights & Collaboration
Collaborate cross-functionally with Product, Finance, and Partnerships to translate business questions into data analysis and actionable insights.
Identify trends and optimization opportunities in partner usage and content costs, clearly communicating findings internally and occasionally supporting external partner reporting, enablement, and training.
Proactively improve analytics offerings by staying current on BI and digital media trends and recommending new metrics or visualizations.
3+ years of experience in data analytics, business intelligence, or a related role, ideally in tech, media, or digital content environments.
Strong SQL skills with experience writing complex queries and transforming data in cloud data warehouses (e.g., BigQuery, Athena), along with a solid understanding of data modeling and ETL processes (e.g., Rivery or similar tools).
Proven experience building dashboards and reports in BI tools, with Looker strongly preferred (or Tableau/Power BI with ability to ramp quickly).
Strong analytical mindset with excellent attention to detail, able to ensure data integrity, uncover insights, and balance hands-on technical work with high-level analysis and interpretation.
Strong communication and presentation skills, capable of translating complex data findings into clear, business-friendly language and visuals.
Self-motivated and curious, with a strong interest in understanding how products work and how data can drive improvement.
BA/BSc or Masters degree in Data Science, Analytics, Computer Science, or a related field (or equivalent practical experience in a data-focused role).
