Top Senior Data Analyst Jobs in NYC, NY

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.

Analyze complex data, build self-service data solutions, and develop business intelligence tools, metrics, dashboards, and visualizations. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, definitions, security, and access governance. The role requires scripting, data querying, Snowflake development, business intelligence visualization, and experience with data management and governance.

Lead end-to-end analytics: own KPIs and dashboards, define measurement with stakeholders, build scalable pipelines with Data Engineering, run deep-dive analyses, close reporting gaps, and advocate best practices in visualization, documentation, and metric consistency to inform business strategy.

The Senior Data Analyst will enhance marketing measurement programs, conduct in-depth analyses, develop data models, and mentor peers, focusing on actionable insights.

Lead analytics for Brigit's Line of Credit product: define core metrics, forecast revenue and costs, design experiments, optimize underwriting and collections, evaluate and monitor predictive models, build dashboards, and deliver ad-hoc analyses to influence product, finance, and leadership decisions.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

The Senior Data Analyst gathers BI requirements, analyzes enterprise and offline datasets, writes and optimizes SQL queries, and builds dashboards using Power BI, Tableau, and Domo. The role translates business needs into technical specifications, designs dashboard wireframes, validates data, documents processes, and collaborates with engineering, product, and business teams. Knowledge of the US trust business is essential for interpreting data within financial and regulatory contexts.

The Senior Data Analyst will own data models and drive analytical initiatives, ensuring data quality and reliability while providing insights to stakeholders. Responsibilities include managing dashboards and supporting the team with analytics.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

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.

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

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

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.

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.

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

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.

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.

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.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

Lead end-to-end analytics projects using proprietary and alternative datasets: ingest, clean, structure, analyze, and deliver clear visualizations and client-ready insights, building scalable SQL/Python/Snowflake workflows and improving data quality and models.

Leads personalization analytics for Disney+ and Hulu by designing and interpreting A/B tests, conducting statistical and causal analyses, improving datasets and instrumentation, and translating user behavior data into strategic product recommendations. The role partners with product, engineering, business leadership, and machine learning teams, develops reporting and visualization foundations, manages analytical projects end to end, and uses AI tools to accelerate analytics engineering and stakeholder insights.

Lead financial administration and governance for global market data services: manage invoice processing, budgeting, forecasting, MDM platform administration, vendor/accounting reconciliation, reporting, and continuous improvement to optimize costs and compliance.