Summary: Meta is seeking a Data Analyst to join the Communications Measurement team, supporting the policy communications function with data-driven insights that shape how Meta engages with policymakers, regulators, and the public. In this role, you will design and maintain measurement frameworks that evaluate the reach, resonance, and impact of policy communications campaigns across earned media, owned channels, and stakeholder engagement efforts. You will translate complex data into clear narratives that inform communications strategy and help teams prioritize their most impactful work. Required Skills: Data Analyst, Communications Measurement Responsibilities: 1. Design and maintain measurement frameworks to evaluate the effectiveness of policy communications campaigns across earned media, owned channels, and stakeholder engagement programs 2. Analyze media coverage, sentiment trends, and audience engagement data to surface actionable insights for policy communications teams 3. Build and maintain dashboards and reporting tools that track key performance indicators for communications initiatives, enabling teams to monitor progress against strategic goals 4. Partner with policy communications leads to define measurement objectives, establish baselines, and interpret results in the context of regulatory and public affairs priorities 5. Synthesize quantitative and qualitative data into clear, concise reports and presentations tailored to communications leaders and cross-functional stakeholders 6. Identify patterns and anomalies in communications performance data, translating findings into recommendations that support strategic alignment across policy and communications teams 7. Collaborate with data engineering and analytics partners to ensure data pipelines and sources supporting communications measurement are accurate, reliable, and scalable 8. Evaluate and integrate third-party media monitoring, social listening, and audience research tools to expand the team's measurement capabilities 9. Support the development of standardized methodologies for measuring policy communications impact, contributing to team-level goals and long-term measurement strategy 10. Leverage AI-integrated workflows to accelerate data analysis, automate routine reporting tasks, and surface insights more efficiently across the communications measurement function Minimum Qualifications: Minimum Qualifications: 11. Experience partnering with cross-functional stakeholders to define measurement goals, interpret results, and align on data-informed recommendations 12. Experience translating complex data findings into clear written narratives and presentations for non-technical audiences including communications or policy leaders 13. Experience working with large datasets using SQL or Python to extract, clean, and analyze structured and unstructured data 14. 2 years of experience in data analysis, analytics, or measurement within a communications, public affairs, media, or policy-adjacent environment 15. Experience designing and maintaining dashboards and reports using data visualization tools such as Tableau, Looker, or equivalent platforms Preferred Qualifications: Preferred Qualifications: 16. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 17. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 19. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 22. Experience with media monitoring, social listening, or audience research platforms used to measure earned media and public sentiment in a policy or corporate communications context 23. Experience building measurement frameworks for public affairs, government relations, or regulatory communications campaigns 24. Familiarity with statistical methods for communications research, including survey analysis, sentiment scoring, or message resonance testing 25. Demonstrated ability to apply AI tools to accelerate data analysis workflows, automate reporting, or generate communications insights at scale Industry: Internet