Insights Analyst, Global Programs and Incentives
Meta

The Global Programs and Incentives team is seeking an experienced professional to support the development of data insights that inform Meta's sales and product investments. As a key member of our team, you will work closely with the Sales Strategic Planning & Operations organization to enable sales leadership to make effective, analytically driven decisions related to global revenue-driving programs. Key to success in this role is the ability to derive insights from complex data, build foundational data, and develop centralized tools for automated business management and data extraction.

Insights Analyst, Global Programs and Incentives Responsibilities:

• 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.

Minimum Qualifications:

• 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)
• 4+ years of advanced 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, including Engineering, Design, PM, Data Engineering, and non-technical partners
• 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.
• The candidate will possess analytical and problem-solving skills, communication and influencing, and a track record of driving business results through data analysis.

Preferred Qualifications:

• Proficiency in scripting languages (e.g., Python) and/or statistical/mathematical software (e.g. R)
• Technically hands-on, especially with translating ambiguous concepts to actionable measurement plans, including A/B testing and other experimental design methods.
• Familiarity with digital advertising or ad monetization, including industry trends and best practices
• Experience working in a matrix structure within a globally operating organization

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