Top Senior Data Analyst Jobs in NYC, NY

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.

As a Senior Data Analyst, you'll lead data visualization initiatives, assess analytics goals, build scalable solutions, and mentor junior team members while collaborating with various data professionals.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Build automated enterprise reporting across clinical, operations, claims, and risk adjustment; answer ad-hoc SQL questions; design ETL and data marts with engineering; ensure data quality and documentation; develop clinical business logic and regulatory/PACE reports; mentor analysts and set reporting standards.

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Maintain data dictionary and lineage; design logical and physical data models; map attributes to source documents; validate data quality; support data governance and compliance; collaborate with BI and analysts to enable reporting and Tableau dashboards.

Manage end-to-end analytics for performance guarantees across strategic accounts: execute recovery and accrual analytics, build SQL-based pipelines and Looker dashboards, support RFPs/renewals with scenario modeling, partner with Sales/Customer Success and Data Engineering, and present technical findings to internal leaders and clients to mitigate financial risk and drive actionable insights.

Design and maintain Looker/LookML data models and dashboards, perform end-to-end SQL analysis, ensure data quality with Data Engineering, build predictive models, and translate findings into actionable recommendations for cross-functional stakeholders.

The Senior GTM Data Analyst partners with leadership to deliver analytical insights, build dashboards, improve data models, and enhance data-driven strategies for cloud security business operations.

Lead compliance training reporting, oversight, and data management for U.S. Compliance. Develop and maintain reporting, dashboards, trackers and audit-ready documentation; validate and reconcile training data; advise business partners on regulatory training requirements; manage projects and remediation, and support regulatory readiness and program governance.

Lead research and advisory work on data foundations for analytics and ML: produce 8–12 research assets annually, drive vendor evaluations (Forrester Wave), consult clients on data/AI strategy, present at events, support business development, and foster cross-team collaboration. Focus areas include data quality, governance, context-ready data, large-scale data management, and measuring business outcomes from analytics and ML.

The Senior Data Analyst will lead data analysis and reporting in experiential marketing, working with stakeholders to translate data into insights and improve business decisions. Key tasks include building data pipelines, ensuring data quality, and creating dashboards for visualization of key metrics.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

The Senior Data Analyst will develop and maintain ETL pipelines, conduct data analysis on large datasets, and design interactive dashboards to support data-driven decisions.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

Analyze portfolio-level organic search performance to identify trends and opportunities, build dashboards and benchmarks, define KPIs, evaluate strategy and product impacts, partner with Product/Data/Engineering, and translate insights into clear recommendations for technical and non-technical stakeholders.

Lead revenue analytics for GTM: own annual operating plan and weekly forecast, build propensity/churn/expansion models, architect the revenue data warehouse and identity resolution, define TAM/ICP, leverage AI to automate insights, and partner cross-functionally to maintain single-source-of-truth revenue metrics.

The role involves managing investment data, performing analytics, supporting fundraising and marketing efforts, and ensuring data quality and governance.

The Senior Business Analyst will lead client data strategy, collaborating across teams to analyze business needs, improve processes, and deliver insights. Responsibilities include developing business requirements, managing project timelines, and creating analytics reports using Tableau and Python.

Drive Data Governance requirements, analyze and validate data, collaborate with stakeholders, and maintain Data Governance artifacts using SQL and Informatica tools.

The Senior Data Analyst transforms data into insights to guide business decisions, conducts analyses, and improves data collection systems.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.