Top Entry Level Data & Analytics Jobs in NYC, NY

Analyze marketplace and product performance using SQL, support experiments and advertising-effectiveness studies, build reusable datasets, QA metrics, and document analytics. Collaborate with analytics engineers, data scientists, product managers, engineers, and commercial teams while developing skills in statistics, causal inference, Python/R, and marketing science.

Develop and advance the enterprise data platform by gathering business requirements, designing data models and warehouses, and building data visualization solutions. Administer reporting, analytics, and visualization platforms while promoting best practices. Collaborate cross-functionally, apply business and process knowledge, manage multiple projects, communicate strategically, and provide technical leadership in data engineering and business intelligence.

Lead and grow a data engineering team responsible for allocating cloud costs to products and customers. Own reproducible, versioned metric publication for Finance, platform-team cost contracts, coverage onboarding, identity mapping, and cost-to-revenue joins. Drive roadmap delivery across teams, improve cost accuracy and coverage, reduce key-person risk, and use AI tooling to increase engineering productivity.

Own Tomo’s data function, strategy, roadmap, platform health, and cross-functional measurement. Build and lead teams spanning data science, analytics, business intelligence, and data engineering. Design experiments, marketing attribution models, SQL queries, and dbt models while maintaining reliable data infrastructure. Partner with Product, Engineering, and executives to improve instrumentation, translate business questions into insights, and establish scalable data processes.

Designs scalable data models, governance processes, quality checks, documentation, and internal data tools. Partners with Data Engineering and business stakeholders to create trustworthy, discoverable, AI-ready data assets supporting analytics, reporting, downstream applications, and machine learning initiatives. Uses AI tools to improve modeling, governance, analysis, documentation, and automation workflows.

As a Deployment Strategist, you will analyze data to solve client problems, engage with customer teams, and present solutions that enhance decision-making processes.

The Research Specialist will assist the research team at Applecart in delivering data and strategic tools to stakeholders through research tasks, data entry, and by identifying publicly available data sources.

Nine-week summer analyst internship rotating across Analytics, Project Management, and Process Improvement. Work with data to generate insights, support project delivery, analyze workflows, and use modern tools (including AI) to improve processes and inform business decisions. High performers may be considered for a full-time rotational program.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

Designs and implements workforce analytics products, including models, reports, workflows, and dashboards. Partners with People Leaders and stakeholders to frame analytical questions, analyze workforce data, develop hypotheses, and communicate actionable findings. Responsibilities include predictive modeling, statistical analysis, data cleansing, ETL development, data governance, integrating data sources, and supporting workforce planning and compensation analysis.