Top Senior Data Analyst Jobs in NYC, NY

Own and evolve Looker as the company-wide business intelligence platform. Build dashboards, data models, pipelines, and integrations connecting Snowflake and other sources. Ensure data quality and provenance, support operational reporting, and partner with Finance, Data Science, and business teams. Help develop AI- and LLM-based agentic reporting tools that enable self-service analytics. Communicate technical concepts across the organization and provide insights for operational decision-making.

Build the analytics layer for Confido and customers: design dashboards, define KPIs, write complex SQL for large financial and operational datasets, surface insights, drive analytic projects, and collaborate with product and engineering to improve data models.

Own end-to-end analytics, business intelligence, data modeling, dashboarding, predictive modeling, and data quality initiatives. Build and maintain Looker and LookML solutions, investigate discrepancies, partner with engineering on data pipelines, and translate complex findings into recommendations for technical and executive stakeholders. The role also supports data strategy and organization-wide data-driven decision-making.

The Data Governance Analyst will design and implement data governance practices, maintain metadata, and enhance data quality and compliance, collaborating with teams across the enterprise.

Own analytics for Customer Success and Operations by translating ambiguous business questions into metrics, reports, dashboards, and PRDs. Partner with senior leaders, CSMs, Analytics Engineers, and Operations teams to improve retention, permit turnaround, and organizational scalability. Build self-service dashboards, develop dbt models, document analytics assets, prioritize high-impact requests, and use LLM tools to accelerate SQL, reporting, and data-model development.

Own and improve Talent Acquisition reporting in Looker, including dashboards for hiring pipelines, conversion, time-to-fill, sourcing, recruiter productivity, and workforce-plan attainment. Build rapid-turnaround dashboards, validate and reconcile data, translate headcount plans into hiring targets and projections, and deliver actionable insights. Partner with TA leaders, recruiters, hiring managers, and executives to explain trends, anomalies, risks, and methodologies clearly.

Own high-impact data products, ingestion pipelines, and granular data feeds end to end. Analyze massive datasets to answer client and stakeholder questions, ensure data accuracy, and derive actionable insights. Improve products and pipelines by developing methodologies, scaling third-party datasets, and creating data modules. The role requires clear communication, attention to detail, methodical problem solving, prioritization, experimentation, and strong ownership. Training includes SQL, PySpark, Python fundamentals, and internal tools.

Analyze complex financial and business data to guide planning, forecasting, investment decisions, and strategic growth. Partner with FP&A, Accounting, RevOps, Product, Marketing, Data Engineering, and analytics teams; automate recurring workflows; build self-service dashboards and data assets; improve analytics infrastructure; and communicate actionable insights to technical and non-technical stakeholders.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

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.

Support accounting and finance data needs by connecting and reconciling data across systems, building and maintaining reporting and analytical tools, enabling month-end close and audit deliverables, and partnering with data engineering and finance teams to improve automation, accuracy, and financial reporting.

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 development and operationalization of enterprise data risk frameworks, KRIs/KPIs, and risk registers. Produce dashboards and reporting, track remediation, partner with data, technology, risk, and compliance teams, and support data protection, governance, and adoption activities across cloud data environments.

Own finance, accounting, and revenue operations data pipelines; develop revenue forecasts; conduct analysis; and build scalable SQL solutions, dashboards, and reports. Partner with executives and cross-functional stakeholders to translate complex financial data into accurate insights and recommendations. Maintain rigorous data validation, documentation, QA, and process improvements while managing competing priorities.

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.

Owns the design, governance, and operational oversight of mortgage document-to-data processes. Performs data validation, reconciliation, exception management, quality control, and anomaly identification across acquisitions, servicing transfers, due diligence, collateral management, and asset management. Collaborates with stakeholders, technology teams, vendors, custodians, and servicing partners to resolve data issues, improve processes, and enhance loan data integrity.

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.

Leads modernization of actuarial reserving workflows, data pipelines, loss development models, and financial reporting processes. Automates spreadsheet-based processes using Python, R, and SQL; partners with Financial Transformation teams; improves valuation efficiency; creates executive presentations; and ensures governance, SOX controls, financial reporting, and audit compliance. The role also provides technical leadership and oversight to junior staff.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

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.

Leads Gartner research and thought leadership on data management, governance, and AI. Develops actionable insights, analyzes market trends, advises executive clients, delivers presentations, supports sales and conferences, reviews content, improves research processes, and mentors analysts. Requires deep expertise in data and analytics, AI implementation, data security, data value creation, executive communication, research, and strategic analysis. Remote U.S. role with travel up to 25%.

Analyze and resolve healthcare data quality issues across claims, EHR, and lab datasets. Design, implement, and monitor data quality assurance processes; investigate anomalies; assess data completeness, consistency, and accuracy; support customer issue resolution; identify data product bugs; and coordinate fixes with Engineering. The role also manages data issue workflows and improves monitoring for incoming source data while using SQL, Python, databases, version control, and AI tools.

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.