Top Entry Level Data & Analytics Jobs in NYC, NY

Designs and implements client technology integrations, data pipelines, ETL processes, reports, and dashboards. The role gathers technical requirements, transforms and integrates mobility data, troubleshoots solutions, and collaborates with developers and project managers to deliver reliable client-facing technology solutions.

Participate in a 24-month rotational data and analytics program covering business data analysis, business intelligence, data architecture, data engineering, and data governance. Gather and analyze data, create reporting and visualizations, support data pipelines and modeling, and help maintain data quality, security, compliance, and lifecycle standards. Collaborate with business partners and develop professional skills through training, mentoring, and on-the-job experiences.

Build and maintain scalable dbt data models, Python ETL pipelines, and Dagster workflows. Scrape public data, support CRM migration, improve data warehousing and SQL practices, and ensure accurate analytics data for organizational stakeholders. Collaborate with analysts, data scientists, vendors, legal and advocacy teams, and business users to define data practices and support fundraising, communications, supporter engagement, litigation, and advocacy initiatives.

Analyze governed datasets using SQL and basic Python to answer business questions, develop actionable recommendations, and communicate complex findings through clear narratives. Partner cross-functionally with business and technical teams, validate assumptions, structure ambiguous problems, and connect insights to strategic and financial outcomes.

Supports the OCP Data Team by collecting, cleaning, querying, and analyzing financial and procurement data. Creates dashboards, charts, and reports using Excel and Power BI; extracts data from PASSPort, WMS, and FMS; documents workflows; performs gap, diagnostic, and descriptive analyses; and provides insights to senior analysts and stakeholders.

Conduct quantitative research to identify trading opportunities and develop trading strategies. Analyze financial datasets using statistical and probabilistic methods, distinguish signal from noise, and investigate market dynamics and microstructure. Build and use research frameworks, apply coding skills in languages such as C++ and Python, and collaborate across projects to improve the firm’s trading capabilities and profitability.

Build AI-assisted interactive data visualizations, calculators, simulations, and internal web applications using Claude Code, React, and live data integrations. Translate ambiguous stakeholder needs into prototypes, then deploy and improve production-quality tools with reliable data pipelines, authentication, and performance. Collaborate with data engineering, establish reusable development patterns, train analysts on code-first workflows, and replace legacy BI dashboards with purpose-built applications.

Analyzes and corrects claims data errors, investigates root causes, evaluates business impact, and recommends long-term data quality improvements. The role manages claims corrections using business rules, resolves exceptions across systems, collaborates with claims administrators, programmers, vendors, and business teams, and produces ad hoc reports. Strong SQL skills and insurance claims knowledge are required; Snowflake experience is preferred.

Provides school data analysis, student scheduling, testing coordination, graduation tracking, compliance reporting, and student records management. The role generates reports on attendance, credits, assessments, and academic growth, shares insights with school teams, supports enrollment and student events, mentors students, and helps ensure accurate accountability data and adherence to graduation requirements.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.