Top Data Analyst Jobs in NYC, NY

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.

Produces automated and custom client-facing healthcare reports, translating ambiguous business questions into robust analyses and presentations. Builds scalable reporting automation with data engineering partners, improves report efficiency and accuracy, identifies reporting gaps, develops domain expertise, and investigates complex business questions for strategic decision-making. Advocates for strong data visualization, documentation, metric consistency, and stakeholder communication practices.

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.

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.

Own data center OpEx and power planning, forecasting, budgeting, variance analysis, financial reporting, scenario modeling, and cost optimization. Build complex operational and financial models, develop dashboards, and provide actionable insights to executive leadership. Partner cross-functionally with data center operations, capacity planning, power and sustainability, and sales teams to support strategic decisions and business growth.

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.

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.

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.

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.

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.

Develop and optimize advanced SQL transformations, stored procedures, ETL workflows, and data-quality processes for large Medicaid claims and health-related social needs datasets. Build reproducible, documented data pipelines; calculate healthcare quality, equity, and disparity metrics; conduct code reviews; and collaborate with stakeholders to turn complex data into visualizations and policy insights.

Partner with business leaders to define and operationalize KPIs, build scalable dashboards and data models, perform deep analyses to uncover insights, and translate findings into actionable recommendations. Deliver recurring and ad-hoc analyses, ensure data accuracy and accessibility, and use AI-assisted tools to accelerate workflows while validating results for impact on growth, efficiency, and customer satisfaction.

Perform forensic data analysis and fraud detection using SQL, Python/R, ML, big-data tools and visualization. Develop detection models/rules, evaluate anti-fraud tools, manage engagements, communicate findings to stakeholders, and lead project teams in investigations and compliance remediation.

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.