Top Senior Data Analyst Jobs in NYC, NY

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.

Own newsroom analytics supporting editorial, audience, and product decisions. Develop dashboards, automated reporting, measurement frameworks, deep-dive analyses, and A/B tests. Maintain reporting data quality and pipelines in partnership with engineering and product teams. Translate findings for nontechnical stakeholders, strengthen analytical practices, mentor junior analysts, and drive adoption of insights across the organization.

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.

Supports advanced provider data management by analyzing healthcare data, improving workflows, maintaining accurate provider records, and applying contracting, network management, and credentialing rules. Leads cross-functional projects, gathers requirements, develops specifications, communicates metrics and insights, supports system adoption, trains users, and performs bulk database updates while ensuring data integrity.

Serve as the analytics subject matter expert for VA Community Care Program Integrity. Develop complex SQL queries, validate enterprise healthcare data, manage data quality, build KPI dashboards, support pilot data environments, and deliver operational reports and documentation. Collaborate with program, clinical, technical, and evaluation teams to translate complex VA datasets into actionable insights while meeting federal data governance, privacy, and system-access requirements.

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.

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.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include source-to-target mapping, transformation logic, data validation, normalization, quality monitoring, governance, metadata and lineage management, and partnership with data engineering. The role translates clinical and business requirements into technical specifications, leads customer discovery sessions, supports analytics and reporting, and drives multiple concurrent integration initiatives through agile delivery.

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.

Analyzes platform usage, client growth, query performance, infrastructure capacity, and cloud/AI costs. Builds scaling scenarios, monitors AWS and GCP utilization, identifies anomalies and waste, owns product analytics reporting, and partners with Engineering and Product on database scaling decisions. The role also documents optimization results, capacity thresholds, vendor utilization, and model assumptions while translating technical findings for business stakeholders.

Analyzes complex datasets to uncover business insights, develops dashboards and reports using SQL and visualization tools, and presents recommendations to stakeholders. Partners with engineering, operations, and other teams to solve business problems, prioritize strategy and projects, manage deliverables, and ensure data accuracy and timeliness.

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, 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.

Lead analytics strategy for federal programs: perform statistical modeling, forecasting, and data mining; build dashboards and automated workflows; ensure NIST/FISMA compliance and data quality; present findings to government stakeholders; mentor junior analysts and manage analytics workstreams.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.

Administers Workday and multi-platform HR security, including role-based access, security configuration, access reviews, governance, audit support, and remediation. Evaluates routine and elevated access requests, enforces least-privilege standards, analyzes security and audit trends, maintains governance documentation, and recommends policy and process improvements. Collaborates with HR, IT, Legal, Compliance, and business stakeholders while protecting confidential employee data.

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

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.