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 scalable data solutions for high-volume transaction streams. Partner with product and business teams to deliver analytics, dashboards, and insights. Lead data strategy, architecture, governance, quality, lineage, and access controls. Enable self-service capabilities and explore new open-source technologies to support business intelligence and operational needs.

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.

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.

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.

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.

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.

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.

Maintain operational tools and metrics to support real-world evidence deliveries; transform data into actionable insights using statistical methods and visualizations; build and support dashboards and data tools; run ad-hoc analyses, experiments, and predictive models; collaborate with cross-functional stakeholders and operations teams to prioritize and improve processes.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

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.

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.

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.

QA and interpret municipal, county, and state zoning and regulatory text for renewable-energy siting; build scripted checks and AI-agent tooling to scale reviews; resolve jurisdictional and preemption questions and document clear rationale.

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

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

Support FP&A by owning forecasting and reporting in Pigment, building dashboards and KPIs, maintaining data infrastructure, partnering cross-functionally to improve datasets and models, and delivering strategic analysis for senior management.

The Senior Revenue Operations Analyst will ensure data quality across systems, integrate third-party data into CRM, define quality metrics, and collaborate cross-functionally to improve data processes.

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.

Lead Analyst will define growth measurement frameworks, build marketplace and lifecycle models, run rigorous experiments and causal measurement, produce BI and growth ROI reporting, identify high-value customers/restaurants, and partner cross-functionally to instrument and automate analyses that guide strategic growth decisions.