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.

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 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.

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.

Analyzes physician enterprise data across clinical operations, finance, revenue cycle, referrals, quality, and utilization. Builds Epic-based executive dashboards and scorecards, automates reporting, validates data quality, defines metrics, and conducts ad hoc analyses. Partners with enterprise analytics, IT, Finance, Revenue Cycle, and Quality teams while managing analytic requests and protecting PHI under HIPAA. Presents actionable findings and recommendations to executive and physician leaders.

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.

Analyze operational, financial, customer, product, and program data to produce actionable insights. Build trusted datasets, semantic models, dashboards, reports, and analytical workflows using Power BI, SQL, Python, and related tools. Define KPIs, validate data, investigate discrepancies, perform statistical analyses, improve reporting automation, document lineage, and communicate findings to technical and nontechnical stakeholders. The role also supports governed self-service analytics, custom visualizations, and responsible generative AI applications.

Support asset-level data intake, validation, and exception triage for private markets. Ensure data quality and standardization, perform trend analysis to inform product and process improvements, coordinate onshore/offshore delivery, document operational logic, and collaborate with Product, Data, and Engineering teams to improve workflows and client reporting.

Build scalable data models, production pipelines, dashboards, reporting, and analytics products for Stripe’s global payments business. Own data quality, testing, monitoring, documentation, and metric definitions. Partner with senior leaders to translate business needs into analyses, identify opportunities, and shape product strategy across global markets.

Lead compliance analytics for BSA/AML and CRA: tune transaction monitoring and watchlist screening, build and streamline compliance reporting, support UAT, audits and regulatory exams, collaborate with Model Risk, Data Engineering and Technology, and prepare executive reporting.