Top Agency Data & Analytics Jobs in New York City, NY

The Data Analyst will clean, validate, and analyze administrative data using R or Python and SQL. Responsibilities include descriptive and exploratory analysis, research and policy evaluation, dashboard and visualization development, quality assurance, documentation, reproducible workflows, and communicating findings to technical and non-technical stakeholders. The role also manages project timelines and collaborates across teams to support criminal justice programs and policy decisions.

Leads audience strategy and analytics engagements, translating business and media objectives into segmentation, profiling, CRM, lookalike, and opportunity-sizing insights. Analyzes first-party and syndicated data using SQL, Python, R, and research platforms; develops visualizations and recommendations; oversees custom audience solutions and external partners; presents findings to clients; and mentors analysts while advancing analytics methodologies, dashboards, training, and thought leadership.

Build and advance channel intelligence capabilities by collecting and synthesizing customer, retailer, marketplace, competitive, field, syndicated, and commercial data. Develop frameworks, processes, reports, presentations, and actionable recommendations that support commercial growth, program optimization, planning, and decision-making. Partner cross-functionally with field teams, program leaders, clients, and analysts while communicating complex findings through clear business narratives and contributing to organizational capability development.

Lead analytics deliverables including omnichannel measurement frameworks, MMM and forecasting workflows, dashboard and report automation (Looker Studio), A/B and lift testing, and client-facing insights. Ensure data governance, mentor junior analysts, collaborate cross-functionally, and translate campaign data into strategic recommendations that connect media KPIs to business outcomes.

Lead account-level analytics strategy by translating client objectives, media performance, and cross-channel data into measurement plans, testing roadmaps, dashboards, and actionable recommendations. The role requires client-facing data storytelling, BI and SQL proficiency, quantitative analysis, quality control, and collaboration with media and strategy teams to improve marketing decisions and measurement effectiveness.

Design and own a multi-tenant data transformation platform: tenant onboarding, schema/ontology evolution, correctness guarantees, RBAC/isolation, agentic and API access, real-time sync, orchestration migration, and governance to scale data products for AI-driven marketing.

Lead data and analytics teams to deliver research, measurement frameworks, AI-enabled analytics, media monitoring, audience and competitive analyses, and executive-ready insights. Manage client relationships, budgets, vendor selection, and mentor junior staff while contributing to business development.

Design, build, tune and maintain enterprise data structures and databases. Gather and document business and technical requirements, perform data profiling, mapping and validation, support ETL and data warehouse implementations, coordinate testing and production rollout, provide ad-hoc datasets and reporting, and participate in data governance and control reporting.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Own client relationships and analytics strategy across digital measurement and GEO initiatives. Architect, audit, and QA GA4 and Adobe Analytics implementations; develop measurement frameworks, dashboards, experimentation plans, and causal analyses. Present insights to executive stakeholders, manage analytics workstreams, mentor teammates, and build AI-assisted workflows, automations, and scalable systems. The role combines traditional analytics with measurement of AI-powered search visibility and customer behavior.