Data Analyst, Communications Measurement

Onsite$151,000 - $213,000/yrPosted today

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Job details

Location: Los Angeles or Washington or New York City or San Francisco
Work type: Onsite
Compensation: $151,000 - $213,000/yr
Posted: today
Apply on: metacareers.com

About this role

Meta is seeking a Data Analyst to own and scale the analysis and technical infrastructure that powers communications measurement at Meta. In this role, you will be the dedicated technical lead for our press monitoring infra — including data pipelines, front-end tooling, AI-driven classification systems, and reporting tools that Comms teams rely on daily. The ideal candidate has a strong technical and analytical background who can bridge media domain expertise with production-grade execution. You won't just analyze and interpret data — you'll build and maintain the systems that produce it. You'll own pipelines end-to-end (ingestion through reporting), develop and improve front-end interfaces, implement AI-driven features, and ensure data quality at scale. Communications experience is a plus.

Responsibilities

Own and evolve the technical infrastructure powering our press measurements
Design, build, and maintain front-end interfaces and dashboards that enable Comms teams to monitor media coverage, track campaigns, and surface insights in real-time
Develop and maintain back-end data pipelines and integrations that ensure data accuracy, reliability, and scalability as monitoring expands globally
Build and improve AI-driven features — including classification, relevance scoring, and automated reporting — and implement human-in-the-loop QA processes that keep AI outputs trustworthy
Partner closely with Data Engineering teams to iterate on measurement methodologies, improve AI performance, and expand platform capabilities
Debug production systems, manage data quality incidents, and ensure reporting continuity for stakeholders across Communications
Identify opportunities to automate routine workflows, increase efficiency, and reduce manual overhead through new tooling and AI integration
Contribute to the team's long-term technical strategy as the organization builds up its technical expertise and capabilities

Minimum Qualifications

6+ years of experience in data science, analytics engineering, or a related technical field with hands-on development work
Strong proficiency in object-oriented programming and languages for data analysis (e.g., Python, SQL, R)
Demonstrated ability to work across the stack — from data infrastructure and pipeline reliability to user-facing interfaces and reporting
Experience leveraging AI/ML models in production workflows (e.g., text classification, NLP, relevance scoring)
Experience communicating technical decisions and trade-offs to non-technical stakeholders (e.g., written summaries, presentations, documentation)

Preferred Qualifications

Demonstrated ongoing AI skill development (e.g., prompt engineering, agent orchestration) and staying current with emerging AI technologies
Experience with AI-driven automation — building systems that combine model outputs with human-in-the-loop quality assurance
Experience in building or maintaining internal tools and applications used by non-technical teams
Experience with front-end development or data application development (e.g., internal tools, dashboards, web applications)
Experience in communications measurement, media analytics, or press monitoring (earned media, sentiment analysis, message pull-through)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Track record of owning complex technical systems end-to-end with minimal oversight
Advanced degree in computer science, data science, statistics, or a related quantitative field
Experience building and maintaining data pipelines (ingestion, transformation, and orchestration) at scale
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Compensation

$151,000/year - $213,000/year; Country: US; Bonus eligible; Equity eligible

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

California Notice

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Accommodations

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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