Top Data Analyst Jobs in NYC, NY

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

Design and build data solutions using open-source technologies; enable self-service data frameworks; partner with business to create metrics, dashboards, and actionable analysis; apply statistical and ML methods for insights; enforce data quality, metadata, lineage, and governance; collaborate with tech teams on security and data access; build tools to monitor and report data quality.

Partner with workforce and business leaders to analyze headcount, role mix, capacity, cost, and OKRs; build analytical models, present clear data storytelling to senior stakeholders, and improve data quality and reporting to support workforce planning and strategic decisions.

Support multimodal neuroscience research by programming data handling and analysis pipelines, implementing QA/curation protocols, testing processing/feature generation, maintaining databases, assisting data collection (MRI/EEG/physiology/behavior), contributing to literature reviews and manuscripts, and presenting at team meetings.

Own and maintain the Propel PLM system to ensure accurate product data, BOMs, and integrations with ERP/CRM. Configure workflows, roles, and data structures; validate product and manufacturing documentation; support cross-functional teams; lead PLM projects; drive data quality improvements, user training, and continuous system enhancements to align PLM with production and supply chain operations.

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.

As a Principal Data Analyst, you will drive workforce analytics initiatives, develop self-service data tools, and ensure data quality, leveraging various programming and data visualization tools.

The Lead Data Analyst will analyze user journeys, recommend product changes, develop dashboards, and drive strategic initiatives through data analysis and experimentation frameworks.

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.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

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.

The Data Analyst will analyze complex datasets to provide insights, design experiments, optimize reporting solutions, and support cross-functional teams.

Design, build, and maintain data solutions and self-service capabilities. Partner with business stakeholders to deliver BI dashboards and insights. Perform data mining, scripting, and analysis across structured and unstructured sources. Ensure data quality, metadata, lineage, governance, and collaborate with tech teams on security and access.

As a Data Analyst Consultant, you will receive immersive training in data visualization using Tableau and Alteryx, tackling real-world data challenges post-training.

Manage market data sourcing, licensing, and entitlements across global vendors. Support portfolio managers and oversee data compliance and usage tracking.

The Senior Data Analyst will partner with clinics to analyze financial performance and operational efficiency, design reports, and communicate insights effectively.

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.

As a Data Analyst, you'll analyze operational data, build dashboards, and partner with teams to drive decisions through data insights.

Maintain and validate client case management data, manage CMS menus, reconcile and profile case data, create dashboards and contract reports (Power BI), support cloud CMS transition, and analyze case trends to inform internal budgeting, forecasting, and external reporting. Provide administrative and data-support to program teams and work on special projects to improve data-driven storytelling.

Analyze commercial campaign performance, build dashboards and reports, provide actionable insights for Client Services and Sales, manage target lists and data quality, and improve reporting through automation and AI-enabled tools to support commercial growth.

Support seller performance management and pricing implementation through reporting, targeted insights, pricing engine configuration, testing, audits, issue resolution, and stakeholder communication.

Own the marketing data layer: write and optimize SQL, build and maintain Hex dashboards, add React components, create reporting tools for growth teams, analyze data with Python, and translate findings into actionable insights.

Perform data analysis and collection to meet IHC/CCAR regulatory requirements, source and enrich data, manage provider relationships, develop business specifications, and act as single point of contact for IHC projects.

The Marketing Data Analyst will analyze healthcare marketing data, linking tactics to patient behavior, and produce actionable insights for clients using advanced analytical techniques and tools.