Top Data Analyst Jobs in NYC, NY

Analyzes payments and banking data to identify trends, improve products, and enhance operational efficiency. Builds dashboards, conducts deep-dive and experimental analyses, monitors customer behavior, and delivers actionable insights to stakeholders. Partners with product managers, engineers, and leadership to define success metrics, ensure data quality, support fraud response, and improve analytics processes.

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Analyze marketplace supply, demand, pricing, yield, and operational performance within the Finance team. Build models, dashboards, forecasts, and variance analyses connecting operational drivers to financial outcomes. Partner with Operations, Campaign Management, and Pricing & Yield to identify inefficiencies, risks, and opportunities. Present actionable recommendations to leadership, improve reporting consistency, and establish analytical best practices.

Own marketing and acquisition reporting, analytics, attribution, audience segmentation, experimentation, KPI development, and dashboarding. Build validated datasets and modular Looker models, partner with data engineers on analytics infrastructure, standardize metrics, and deliver actionable insights. The role also promotes advanced analytical techniques, supports marketing strategy, and trains stakeholders on BI best practices.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Support private markets data operations by processing LP documents, triaging automated exceptions, ensuring data quality, and analyzing trends to inform product and process improvements. Coordinate with onshore/offshore teams and partner with Product and Engineering on operational needs.

Supports People Analytics by maintaining Workday and Looker dashboards, auditing data across Workday, Greenhouse, and Snowflake, and producing reports and ad hoc analysis. Transforms people data into actionable insights, responds to reporting requests, supports advanced statistical analysis, and partners with People, BI, Data Engineering, and IT stakeholders. The role also follows data governance and security standards while managing reporting priorities independently.

Analyzes Tax & Cost Basis data processes, trends, and quality; develops reports and actionable recommendations; tests software and data workflows; documents procedures; collaborates with Product, Operations, and Development; and helps automate processes to improve efficiency and reduce manual work.

Serves as an enterprise architecture subject matter expert within a DoD environment. Supports DoD Business Enterprise Architecture initiatives, business process alignment, enterprise strategy, stakeholder analysis, requirements documentation, reporting, and project activities using MEGA HOPEX and Microsoft Office tools.

Own end-to-end client reporting and analysis, including scoping, delivery, automated report development, and deep-dive investigations. Partner with client-facing teams to answer complex healthcare questions, improve report efficiency and accuracy, develop scalable reporting automation with data engineering, and establish best practices for visualization, documentation, metrics, and stakeholder communication.

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.

Analyze complex data and develop managed data solutions, business intelligence tools, dashboards, metrics, and self-service capabilities. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and familiarity with cloud services and data governance.

Analyze business data, conduct exploratory and ad-hoc analyses, build reporting frameworks, and monitor data science models. Use SQL, Python, Snowflake, and dbt to clean and model data, investigate trends and anomalies, evaluate hypotheses, and communicate actionable insights through visualizations, reports, and presentations to technical and non-technical stakeholders.

Analyze and manipulate large datasets supporting energy modeling and SEM programs. Review data before and after modeling, maintain standardized templates and databases, integrate data into statistical software, quality-control models and reports, and create work instructions. The role also involves automating data processing, troubleshooting Visual Basic and Excel tools, managing Smartsheet data, supporting benchmarking reports, and collaborating with internal teams and occasional clients.

Paid data analyst intern to collect, clean, and analyze e-commerce and marketing datasets, build dashboards, generate customer and performance insights, support market research, and collaborate with marketing, product, and sales teams to drive data-informed decisions.

Evaluate LLM-driven document processing systems and agentic workflows, analyze model errors and hallucinations, curate golden datasets, and build monitoring dashboards and evaluation harnesses. The role performs root-cause analysis on financial and operational data, tracks model drift and performance, and translates business problems into quantitative insights while collaborating with AI engineers, product managers, and operations leaders.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

Designs and develops system-level workforce intelligence across the employee lifecycle. Identifies workforce trends, integrates HR insights with finance and operational metrics, creates executive-ready reporting and narratives, and supports strategic planning. Partners with data product owners and cross-functional stakeholders to align workforce intelligence with Federal Reserve System priorities and HR product strategy.

Analyze complex datasets and translate findings into actionable business insights across Product, Sales, Marketing, and Underwriting. Build and maintain Power BI dashboards, own ad hoc reporting, and use dbt to transform warehouse data. Collaborate with engineering and product teams to improve data consistency, document data definitions, and support data-driven decisions in a fintech and insurance environment.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Supports Dow Jones Data Management projects through data analysis, dashboard development, report delivery, trend interpretation, and stakeholder communication. The intern will use SQL, Python, Excel, visualization tools, and internal data lakes to explore user behavior, identify insights, and contribute to data pipelines, models, algorithms, and reporting. This is a full-time, in-office summer internship in New York City with hybrid work arrangements.

Build and govern KPIs and dashboards, partner with stakeholders on measurement, develop scalable data pipelines, run deep-dive analyses, close reporting gaps, and promote best practices in visualization and metric consistency.

Partner with client-facing teams to deliver and automate high-quality, scalable client reports and custom analyses using Snowflake/SQL and modern data tooling. Improve report accuracy, documentation, visualizations, and drive insights for strategic decisions.

Data Analyst Intern supporting Lyft Urban Solutions by developing reporting frameworks, defining performance metrics, building dashboards, diagnosing KPI trends, and delivering reliable insights to city partners. The role collaborates with Operations, Engineering, Data Science, Product, and Finance teams to improve bikeshare fleet management, pricing, accessibility, and infrastructure decisions.