Top Senior Data Analyst Jobs in NYC, NY

The Senior Data Analyst will manage data quality and governance for regulatory compliance, build data marts, and optimize data models for performance and scalability. This role includes supporting regulatory exams, establishing monitoring for data feeds, and translating regulatory requirements into data flows.

Lead experimentation and analytics for commerce, payments, and fraud prevention. Design experiments, define metrics and sample sizes, build SQL-based analyses and dashboards in Looker/Tableau, partner with Product/Engineering/Data Science to build pipelines, translate results into business recommendations, and support advanced modeling and AI use cases.

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.

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.

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.

Design, build, and maintain analytics and reporting for payment integrity post-pay reviews. Extract and consolidate large healthcare claims datasets, apply statistical analysis, develop dashboards and algorithms, and communicate findings to stakeholders. Support monitoring, tracking, and production deployment of analytics solutions.

Design, build, tune and maintain enterprise data structures and databases. Gather and document business and technical requirements, perform data profiling, mapping and validation, support ETL and data warehouse implementations, coordinate testing and production rollout, provide ad-hoc datasets and reporting, and participate in data governance and control reporting.

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.

As a Senior Data Analyst for Fraud Strategy & Operations, you will analyze data to identify fraud trends, build predictive models, design fraud prevention rules, and collaborate with cross-functional teams to enhance fraud detection capabilities.

Build and maintain scalable monitoring solutions and dashboards to track production, campaign, and operational data. Analyze large-scale datasets to detect anomalies, perform root-cause investigations with Engineering and Production Operations, and deliver actionable insights to improve platform reliability and operational efficiency.

Lead cross-functional analyses and build scalable reporting for go-to-market teams. Develop and automate data pipelines, create interactive dashboards, improve data quality, and translate complex findings into actionable recommendations for stakeholders and executives.

The Data Governance Analyst curates metadata, implements governance workflows, supports data quality checks, and drives governance tool adoption to enhance data strategy.

Analyze and consolidate disparate data sources, document functional specifications, review logical and conceptual data models, gather business requirements, validate implementations, support production deployments, investigate data quality issues, and coordinate with technology leads to resolve data completeness and accuracy gaps.

Lead reconciliation data analysis for cash, stock and position records. Gather requirements, document functional specs, validate solutions, support production deployments, investigate data quality and work with technology leads to ensure data completeness and lineage.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Design, implement, and optimize data quality management solutions and governance workflows. Collaborate with data product managers, business SMEs, and engineering to improve data quality, discoverability, lineage, and compliance. Support tool implementation (Anomalo, metadata tools), run data profiling/cleansing, document standards, enable users through training, and participate in Agile delivery and backlog prioritization.

Design, analyze, and document data products and technical specifications. Perform large-scale data profiling and SQL analysis, support data governance, partner with stakeholders to remediate issues, and help implement data quality, lineage, and ingestion standards.

This role involves enhancing data quality through analysis and reporting, collaborating with teams to modernize data infrastructure and drive business insights.

The Senior Data Analyst will analyze large datasets, develop models, create visualizations, and collaborate with teams to enhance media analytics and client outcomes.

Lead product analytics efforts by analyzing large-scale data to define KPIs, run experiments, build dashboards, and deliver data-driven recommendations across product, engineering, and commercial teams to drive user growth, engagement, retention, and monetization.

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

Build reliable data models and semantic layer for AI-powered analyses. Support Product, Finance, and Customer Success with SQL-based analytics, BI dashboards, and stakeholder storytelling. Standardize data team processes, prioritize work, and collaborate across company to enable data-informed decisions.

Partner with Sales, RevOps, Marketing, and Customer Success to connect the full revenue funnel. Produce GTM insights using advanced analytics, SQL, and BI tools; communicate findings to stakeholders; standardize Data team processes; mentor analysts and lead data-driven initiatives to drive business outcomes.