Top Senior Data Analyst Jobs in NYC, NY

The Data Analyst will lead high-impact data products, drive product success, collaborate cross-functionally, use AI tools, and enhance client value, focusing on new methodologies and data exploration.

Design and maintain company-wide dashboards, define KPI frameworks, implement tracking and data governance, write advanced SQL, partner with product and engineering, build predictive/AI-ready data layers, automate reporting, and present insights to leadership to drive operational and financial improvements.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

The Senior Data Analyst will manage client-facing analytics, build dashboards, partner with Customer Success, and leverage AI tools for reporting.

Lead customer-facing analytics: build dashboards, reports, and POCs that demonstrate ROI and utilization trends for healthcare provider data. Collaborate with data science and engineering on advanced models, assess and integrate new data sources, ensure data quality, and support presales and executive-facing storytelling.

The Senior Data Analyst will analyze digital marketing campaigns, leverage data sources for business decisions, and communicate insights effectively to improve performance and support Media Partners.

The Data Governance Analyst will design and implement data governance practices, maintain metadata, and enhance data quality and compliance, collaborating with teams across the enterprise.

The Sr. Data Analyst Sales will provide strategic insights, develop analytical solutions, and manage stakeholders to improve sales performance. They will use SQL and Tableau to create dashboards and maintain data integrity.

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Lead core business analytics: build and maintain KPI dashboards, run statistical analyses and A/B tests, identify drivers of retention and revenue, support forecasting, partner with Product/Engineering to improve data quality, and use AI/scripting to automate analytics and surface insights for leadership.

As a Senior Data Analyst, you will analyze game telemetry data, translate business needs into insights, and guide technical teams. You will also lead exploratory data analysis and maintain data quality practices.

Lead design and buildout of an Operations Intelligence Warehouse (BigQuery, dbt, Metabase), define metrics and data quality standards, create dashboards for throughput and cycle time, join ops to GTM/financial data, run variance/root-cause analyses, and partner with Data Engineering and stakeholders to turn operational telemetry into actionable insights.

Owner of cross-functional analytics projects: build and maintain dbt models, write advanced BigQuery SQL, create BI dashboards (Omni/Power BI), monitor data quality, define metrics, enable stakeholder decisions, and use AI tools to accelerate analysis and QA.

Lead development and scaling of financial analytics: build data models, dashboards, and reporting; translate financial data into executive insights; embed predictive analytics; partner with Finance, IT, and business units to improve data quality, governance, forecasting, and automation.

Lead pediatric and perinatal HIV surveillance as team lead: supervise staff, develop and enforce data collection and QA protocols, maintain surveillance databases, perform SAS-based data management and analyses, produce reports and visualizations, coordinate with stakeholders (NYS, CDC, providers), lead data modernization and mortality review efforts, and contribute to publications and presentations.

The Sr. Analyst will build reporting solutions, collaborate across teams, advocate for user-centered design, and drive employee development in data management.

The Senior Data Analyst will analyze TV ad effects, monitor modeling outputs, and create predictions while working collaboratively on high-impact projects.

Support design, delivery, and enhancement of insurance data products. Elicit and document requirements, create user stories and data mappings, validate data using SQL, support data pipelines and UAT, resolve data issues, and contribute to data quality, governance, and documentation.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Lead sales analytics and data strategy for global Sales: own pipeline, forecasting, capacity and quota models, build dashboards and Pigment models, design data pipelines and governance, develop AI-native reusable analytics skills, partner with Sales, RevOps, Marketing and Finance, and drive adoption of AI-driven workflows across sales teams.

Lead end-to-end analytics projects, design scalable dashboards and measurement frameworks, perform deep-dive analyses and A/B test evaluation, mentor junior analysts, collaborate with engineers, and present insights to stakeholders to drive data-informed decisions.

The Senior Data Analyst will develop AML and fraud models using Python and SQL, maintain performance dashboards, and lead data initiatives to improve regulatory compliance in financial services.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

The Senior Analyst will support Data Governance policies, document procedures, collaborate with stakeholders, and assist in training and audits.