Top Senior Data Analyst Jobs in NYC, NY

Lead partner analytics by building scalable dashboards, forecasting and ROI models, and experimental designs to evaluate and optimize partner performance. Collaborate with Product, BD, Marketing, and Data Engineering to improve pipelines, translate insights into recommendations, and mentor analysts to scale partner growth.

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.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Own and enhance Sigma dashboards and business intelligence reporting for the Records Retrieval business. Partner with stakeholders to translate business needs into scalable data solutions, analyze complex datasets, improve data quality and governance, define reporting standards, and support Snowflake data warehouse and modeling initiatives. Deliver actionable insights, automate reporting processes, evaluate analytics tools, and independently drive analytics projects from requirements through delivery.

Partner with product to define success metrics, build and maintain dashboards, analyze product usage and revenue, improve AI self-service in Omni/Amplitude, deliver ad hoc analyses, and present actionable insights to leadership.

Partner with Product, Engineering, and Design to own product analytics: define success metrics, build data models and dashboards, validate launches, monitor products, run deep-dive analyses, design experimentation, audit tracking across web and mobile, and develop AI-enabled analytics workflows to surface insights and measure product performance.

Analyze and design enterprise healthcare data solutions using Snowflake and advanced SQL. Perform data profiling, reconciliation, anomaly detection, source-to-target validation, and quality testing across claims, membership, provider, and health plan data. Support data architecture, dimensional modeling, governance, metadata, lineage, cataloging, and MDM initiatives. Prepare data for AI and advanced analytics, translate business requirements into solutions, resolve data issues with stakeholders, and communicate actionable insights while following security and HIPAA requirements.

Partner with business leaders to define and operationalize KPIs, build scalable dashboards and data models, perform deep analyses to uncover insights, and translate findings into actionable recommendations. Deliver recurring and ad-hoc analyses, ensure data accuracy and accessibility, and use AI-assisted tools to accelerate workflows while validating results for impact on growth, efficiency, and customer satisfaction.

Design and maintain Power BI semantic models and Microsoft Fabric analytics solutions. Build scalable star schemas, DAX measures, Spark/PySpark pipelines, AI-enabled data experiences, and operational dashboards while partnering with engineers and BI teams to improve data quality, performance, and governance.

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.

Own end-to-end analytics across marketing, revenue, product, and partnerships. Build reliable data models and semantic layers in a lakehouse, maintain dashboards and monitoring, investigate anomalies, conduct experimentation, and translate complex analyses into recommendations for senior stakeholders. The role requires advanced SQL, Python, data modeling, stakeholder communication, autonomy, and mentoring, with responsibility for improving data quality and building analytical standards in a high-growth startup.

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

Lead end-to-end analytics work: define core metrics, build reliable data models and pipelines, deliver dashboards and insights, and partner cross-functionally to drive product and business decisions. Mentor stakeholders, document data, and help scale analytics capabilities on an event-driven platform.

Lead healthcare payment integrity analyses, collaborate with clients and internal teams, build and maintain large-scale SQL and Spark queries, design ETL/ELT transformations, implement AI/LLM-driven analytical workflows, perform data quality monitoring, and mentor analysts while documenting lineage and audit-ready methodologies.

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

Lead healthcare analytics work using claims and product data: calculate PMPM and utilization metrics, validate data refreshes, design data models and algorithms, build Looker dashboards, and document/train stakeholders. Serve as a healthcare data SME collaborating with clinical, operations, and finance teams.

Lead development of scalable audience and measurement products across brands and platforms. Build dashboards, KPI frameworks, and analyses to quantify content discovery, AI-driven consumption, identity resolution, and advertising effectiveness. Partner with Product, Engineering, and business stakeholders to translate large-scale data into actionable insights and drive enterprise decision-making.

Lead marketing analytics for clients by transforming data into dashboards and stories, building measurement frameworks, conducting consumer and competitive research, and applying media measurement methods (MMM, MTA, experiments) and statistical techniques to inform media budget and channel allocation.

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.

Support pharmaceutical brand and commercial teams by transforming and integrating healthcare and media data using SQL and cloud warehouses, performing EDA and statistical analysis, preparing datasets for advanced analytics and ML, and building visualizations and dashboards. Communicate insights to cross-functional stakeholders, document methodologies, and maintain analytical workflows and data governance for marketing and analytics use cases.

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, 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.

Lead compliance analytics for BSA/AML and CRA: tune transaction monitoring and watchlist screening, build and streamline compliance reporting, support UAT, audits and regulatory exams, collaborate with Model Risk, Data Engineering and Technology, and prepare executive reporting.

Build and maintain SQL queries and automated data workflows to support CARF and 1099-DA regulatory reporting. Validate, reconcile, and document reporting data; partner with cross-functional teams; track work in Jira; identify automation opportunities; support testing, audits, and jurisdictional implementations.

Design and enhance a global corporate hierarchy framework by defining entity relationships, building parent-subsidiary linkages, enforcing governance rules, and performing data analysis to improve linkage quality and integrity. Collaborate with business, product, and engineering teams to deliver scalable solutions, support project delivery, and communicate with stakeholders and executives.