Top Data Analyst Jobs in NYC, NY

This role involves innovation in data solutions, business intelligence through analytics and visualization, and data management focusing on quality and security governance.

The Data Analyst will leverage data to optimize operations and enhance products by analyzing user behavior, building dashboards, and delivering insights to improve customer experiences.

The Lead Data Analyst will estimate marketing incrementality and improve performance using media mix modeling and predictive modeling. Responsibilities include mentoring other analysts, partnering with teams, and developing predictive models to drive business outcomes.

Partner with tech, operations, and workforce stakeholders to analyze workforce and operational data, build forecasts and scenario models, write and optimize SQL, use Databricks, create dashboards and reports, and deliver actionable insights to inform capacity, demand, skills, and staffing decisions.

The Lead Data Analyst leads analytics for Taskrabbit's Supply-related priorities, driving growth, retention, and operational improvements through data analysis and collaboration across teams.

Analyze transactional data across payment systems, build reports, ensure data accuracy, support product launch, and drive strategic initiatives.

Build data and AI-powered internal tools (meeting prep automation, portfolio benchmarking, diligence tooling) used by M13's investment team; produce clean, maintainable code, documentation, and collaborate with end users to iterate on production-ready systems.

Analyze datasets to identify trends, develop dashboards, provide insights for decision-making, and ensure data accuracy in collaboration with teams.

The Clinical Data Analyst will design and implement analytics for payer-grade outcomes, integrate claims and clinical data, and support business metrics analysis tailored for client relationships. They will ensure data quality and governance while translating clinical data into economic value across various healthcare analytics initiatives.

This role involves executing and delivering analytical reports, linking data for marketing optimization, and communicating analysis results to clients.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

As a Data Analyst, you will analyze and report on large datasets, ensure data quality, automate deliverables, and provide insights to drive decisions within the Finance team.

The Senior Product Data Analyst will lead product analytics, conduct deep-dive analyses, drive product decisions, communicate insights, and enhance analytics best practices at Mixbook.

The Senior Marketing Analyst will enhance analysis within the Go-to-Market team, optimize marketing attribution, analyze customer funnels, and collaborate with various teams on campaigns and revenue growth solutions.

Join the Data team as a Data Analyst II to derive actionable insights and manage KPIs across various cross-functional teams, contributing to data excellence and better health outcomes.

The Principal Data Analyst at Capital One will leverage analytics and technical skills for data management, business intelligence, and innovative data solutions.

The role involves analyzing customer engagement across channels, optimizing lifecycle marketing programs, and collaborating with various teams to improve marketing strategies.

The Data Analyst will partner with business functions to ensure data quality and integrity while contributing to the firm's data governance framework and analyzing firm data for issues.

The Senior Data Analyst will collaborate with the executive team to identify opportunities, drive reporting, and provide insights that guide strategic decisions at Addition Wealth.

The role involves managing technology teams to build a global customer master, analyzing data, optimizing processes, and collaborating with various teams to ensure compliance.

Own end-to-end data and analytics for SaaS clients: collect requirements, stand up data infrastructure, migrate reporting to Valon Data Schema, build dbt pipelines, rewrite SQL queries and dashboards, conduct analyses, and support client operations under tight deadlines.

Own client-facing data and analytics projects: collect requirements, stand up data infrastructure, migrate/report to Valon Data Schema and API, build dbt pipelines, rewrite SQL reports and dashboards, conduct analyses, audit and improve datasets, and meet tight deadlines while learning mortgage servicing deeply and applying advanced AI-enabled coding practices.

The Sr. Data Analyst will analyze financial documents, provide input on AI model training, collaborate cross-functionally, and ensure data quality and accuracy.

Support analytics and reporting for clients: translate business questions into analytical requirements, analyze data for insights, build and maintain dashboards and reports, document metrics, collaborate on data modeling, validate data quality, and communicate findings to stakeholders.