Data Analytics Engineer: AI Dashboards & Pipelines

Meta; New York (NY); On-site; USD 151,000 - 213,000; Full time

Job summary

Meta is seeking a Data Analyst to own and scale the analysis and technical infrastructure powering communications measurement. You will lead the press monitoring infrastructure, from ingestion to reporting, building pipelines, front-end tools, and AI-driven features that surface real-time insights for Communications teams.

You will work across data engineering and analytics, ensure data quality at scale, and push for production-grade solutions that bridge media domain expertise with technical

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)

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

Skills

Python

SQL

R

Data Analysis

Analytics Engineering

Stakeholder Communication

Education

Advanced degree in computer science, data science, statistics, or related field

Job description

Meta is seeking a Data Analyst to own and scale the analysis and technical infrastructure powering communications measurement. You will lead the press monitoring infrastructure, from ingestion to reporting, building pipelines, front-end tools, and AI-driven features that surface real-time insights for Communications teams.

You will work across data engineering and analytics, ensure data quality at scale, and push for production-grade solutions that bridge media domain expertise with technical