Top Entry Level Data & Analytics Jobs in NYC, NY

Develop sophisticated investment and trading models using statistical techniques, machine learning, and real-world datasets. Conduct end-to-end quantitative research, test investment hypotheses, collaborate with engineers, analyze market behavior, and communicate complex findings. Participate in academic seminars, reading groups, and industry conferences focused on statistics, machine learning, and data science.

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

Early Career Analyst supporting Affirm’s Risk & Analytics organization through data analysis, portfolio monitoring, reporting, risk and growth strategy insights, and cross-functional collaboration. The role uses SQL and Python to build scalable reports, support machine learning and risk model deployment, assess lending regulations, and improve product launches and market expansion. Analysts will integrate AI tools into workflows while validating outputs and developing expertise in consumer lending and quantitative business decision-making.

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.

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.

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

Conduct online market research projects from survey setup through delivery. Program and test surveys, discussions, and live chats; monitor fieldwork, quotas, data quality, and participant engagement; maintain research communities and respondent databases; support recruitment; create charts, reporting templates, and PowerPoint presentations; and collaborate with account teams to deliver consumer insights to clients.

Manage survey research projects from questionnaire design through analysis and reporting. Responsibilities include planning analyses, coordinating timelines and budgets, conducting quality checks, analyzing survey results, preparing presentations, and developing insights into client businesses and consumer behavior.

Conduct quantitative financial research across industries and sectors, including financial modeling, valuation analysis, trend analysis, and stock-return forecasting. Develop, back-test, and implement statistical and machine-learning models; evaluate alternative data; build data-query and analysis tools; and identify sector signals and trading strategies. Produce research reports, present findings, collaborate with research, technology, sales, and trading teams, and communicate insights to internal and external clients.

Analyzes market, media, and consumer data; interprets marketing mix modeling, attribution, and customer analytics outputs; develops actionable business recommendations; plans and tracks insights projects; and coordinates with cross-functional stakeholders to communicate findings and support marketing and business decisions.