Senior Business Intelligence Analyst

Cross-Functional Collaboration

• Partner with sales, operations, and finance teams to align product features with revenue goals and client needs.
• Serve as the bridge between sales, marketing, product, and finance teams to ensure alignment on revenue goals.
• Educate internal teams on revenue workflows, platform capabilities, and new product features to drive adoption and operational efficiency.
• Work with Data Governance and Data Infrastructure to establish key data pipelines and metric definitions.

Data-Driven Insights

• Leverage analytics tools (e.g. Looker, SQL, dbt) to track and report on performance, revenue impact, and user engagement.
• Analyze data to identify trends, revenue leakage, and growth opportunities, providing actionable recommendations to stakeholders.
• Conduct A/B testing on revenue-related features, interpreting results to inform future strategies.
• Build and maintain financial models to support strategic decision-making for pricing and revenue optimization.
• Use data to prioritize features and justify business cases for new investments.
• Use Claude to build custom reporting and generate key business insights.

Revenue Operations Strategy

• Design and implement revenue operations frameworks that maximize yield, pricing efficiency, and revenue scalability.
• Develop and maintain dashboards and analytics for revenue performance tracking and forecasting.
• Identify and address inefficiencies in revenue workflows, improving operational processes and reducing time-to-revenue.

Product Collaboration

• Partner with product management teams to align operational requirements with DSP product development, ensuring seamless integration of revenue processes.
• Influence the roadmap for revenue-impacting features, such as pricing algorithms, billing workflows, and reporting tools.
• Collaborate on feature testing and rollouts, providing operational insights to optimize functionality and performance.

Who You Are

• 3+ years of experience in revenue operations or business intelligence within the adtech industry.
• Strong familiarity with DSP platforms, programmatic advertising, and real-time bidding.
• Demonstrated success in developing and executing revenue strategies tied to product development.
• Knowledge of adtech ecosystems, including auction mechanics, yield management, and pricing models.
• Experience with data analysis tools like SQL and Looker.
• Familiarity with data transformation tools like dbt.
• Familiarity with APIs, data pipelines, and revenue tracking systems.
• Ability to analyze performance data and make compelling recommendations for internal strategy, as well as client optimization recommendations.
• Strong verbal and written communication skills.
• Detail oriented, well organized, comfortable working independently, and have the technical aptitude to learn new technologies.
• Self-motivated with high energy and willingness to adapt.