Top Entry Level Data & Analytics Jobs in NYC, NY

Build and maintain dashboards, automate reports, manage and QA marketing data, integrate sources, and support campaign analysis. The role validates datasets, monitors tracking and taxonomy, identifies performance insights, and helps prepare client-facing deliverables. It is designed for an early-career analyst developing expertise in media platforms, visualization tools, data querying, attribution, and marketing performance measurement.

Develop interactive Power BI dashboards and automated reporting processes using existing databases. Analyze Institutional Review Board data to identify trends, performance metrics, workflow improvements, and actionable operational insights. Collaborate with stakeholders, manage multiple projects and deadlines, and support administrative or project-specific responsibilities. The role is hybrid, grant-funded through November 2027, and requires residence in New York, New Jersey, or Connecticut.

Lead end-to-end Celonis process mining use cases, including translating business requirements, sourcing data, solution design, analysis, development, deployment, and production support. Collaborate with development teams to establish and deliver use cases, while providing hands-on Celonis platform development and preserving critical technical knowledge.

Analyzes business data and trends, gathers stakeholder requirements, identifies process improvement opportunities, and develops actionable recommendations. Prepares reports and presentations for management while monitoring initiative and project progress across cross-functional teams.

Owns customer analytics data foundations across North America by building reliable datasets, pipelines, integrations, automated workflows, semantic models, dashboards, and reporting products. Performs customer segmentation, lifecycle, behavioral, and commercial analysis; validates data quality; resolves production issues; and applies automation and AI where valuable. Partners with CRM, e-commerce, retail, customer care, marketing, finance, and technology teams to translate business needs into scalable, maintainable self-service solutions.

Analyzes qualitative and quantitative program data, client outcomes, and interventions for street outreach and transitional housing programs. Manages data processes, reporting, documentation, data quality checks, and reporting automation. Supports evidence-based decision-making, coordinates with internal departments and external stakeholders, and helps design larger-scale data projects.

Coordinates continuous quality improvement activities for social service programs, including referral intake, case record reviews, data collection, quality assurance, KPI tracking, trend analysis, and reporting. Trains staff on database systems, presents findings, supports grant writing, maintains program logs, monitors case documentation, and communicates with internal teams, ACS, and community partners.

Summer Analyst on Citi’s Markets Quantitative Analysis team, developing quantitative models and analytics for derivatives, algorithmic execution, trading strategies, and risk management. The role includes a structured training program, quantitative modeling desk placement, a summer project, data science competition, desk rotations, and presentations to senior leadership. Candidates should have strong mathematical, statistical, programming, artificial intelligence, and machine learning skills, plus an interest in financial markets.

Analyze stakeholder and project requirements, translate them into functional features, partner with Product, Engineering, and QA, define acceptance criteria and test cases, identify bugs, support resolution, perform functional testing, and provide product sign-off. The role also involves documenting use cases, communicating decisions, and developing data-product solutions using SQL and the company’s data stack.

Own revenue forecasting models, pipeline analytics, and commercial performance insights across a global flexible-workspace network. The role integrates data from Salesforce, Looker, Snowflake, and spreadsheets; analyzes pricing, conversion, sales velocity, unit economics, and marketing and sales efficiency; partners with Finance and commercial leaders on budgets and planning; and communicates findings through actionable memos and presentations.