- Work effectively with cross-functional teams globally, driving results through data insights and building partnerships
- Conduct analytical projects using internal and external data (e.g., revenue, product, market) to drive program development and decision-making
- Understand and translate business needs into technical requirements, serving as the liaison of the business to technical stakeholders while also developing strategy and supporting leadership in prioritizing what to build and setting goals for execution in a technical lead capacity
- Own our ROI measurement approach and narrative across programs, geographies, and partner types in partnership with Data Science and Operations teams
- Oversee a portfolio of data products (metrics, dashboards, tables, analysis), identify gaps, and prioritize future development
- Develop an understanding of complex distributed systems, sub-components, and broader industry challenges to identify present and future risks and opportunities
- Work with large and complex data sets to solve business problems using different analytical and statistical approaches
- Conceptualize, build, manage, and maintain centralized tools (including dashboards) that the business and Analytics teams can use to extract data insights for daily business management in an automated manner
- Drive analytics projects end-to-end in partnership with teams from Engineering, Sales Analytics, Data Science, and Program Management
- Support monthly, quarterly, and periodic management activities by delivering data insights and recommendations to key stakeholders through analysis, performance metrics, and monthly, quarterly, and periodic forecasting
- Create and monitor key performance indicators and metrics to track performance, identify areas for improvement, and implement optimizations
- Build and use data analytics and modeling tools to make data-driven decisions. Monitor and analyze program performance and provide insights and recommendations to leadership
- 8+ years of work experience involving analytical rigor as typically seen in, but not restricted to, functions like finance, data science, strategy, sales operations, business operations, etc., or industries like consulting, banking, etc. (or 6+ years of work experience with Masters degree)
- SQL experience working with large datasets
- Experience initiating and completing analytical projects with minimal guidance
- Proven experience to present technical content to non-technical audiences and leadership
- Demonstrated experience in cross-functional partnership among teams
- Track-record driving roadmaps and execution
- Advanced Excel, Google Sheets, and Google Slide skills
- Proven stakeholder management experience, including managing multiple internal/external partners simultaneously
- Demonstrated experience in designing and launching organization-wide scalable processes that promote governance and accountability
- MBA or advanced degree in a relevant field
- Thrives in a complex, ambiguous and fast-changing environment with agility to drive results through effective problem-solving, collaboration and communication
- Knowledge of the advertising industry and its trends
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