Top Data Analyst Jobs in NYC, NY

Own the finance data foundation and analysis supporting leadership, board, and investor decisions. Build Snowflake data models and pipelines using ERP, CRM, billing, payroll, and operational data. Define trusted metrics, automate reconciliations and reporting with AI, analyze complex datasets using SQL, explain performance drivers, quantify opportunities, and communicate actionable recommendations to senior stakeholders.

Analyzes advertising revenue, inventory utilization, sell-through rates, pricing, and business trends. Maintains Excel and Power BI reports and dashboards, organizes data from multiple sources, investigates discrepancies, and creates clear visualizations. Supports process automation using Power Query, Excel data models, and Access. Collaborates with analytical leads and cross-functional partners to communicate findings, improve reporting accuracy, and support business decisions.

Analyze complex data, build self-service data solutions, develop business intelligence dashboards, and deliver strategic insights. Manage data quality, metadata, lineage, access governance, and monitoring. Partner with business and technology teams while using Python, R, Spark, SQL, AWS, and visualization tools. The role requires substantial data analytics, scripting, querying, business intelligence, data governance, and process improvement experience.

Develops and maintains KPIs, dashboards, datasets, and analytical models to measure Medical Affairs impact, resource allocation, performance, and business outcomes. Sources and manages data across systems, identifies trends, supports strategic planning, partners with UI and Medical Affairs stakeholders, resolves data issues, and communicates insights. The role also provides leadership, talent development, and cross-functional collaboration within a pharmaceutical environment.

Analyzes complex data to develop business intelligence tools, metrics, dashboards, and actionable insights. Builds data solutions and self-service capabilities using Python, R, Spark, SQL, AWS, Snowflake, OneLake, and Databricks. Partners with stakeholders on strategy and operational improvements while supporting data quality, metadata, lineage, access governance, and monitoring. The role also advances analytics innovation and automated data management across Bank Tech.

Leads advanced analytics, reporting, scalable data models, dashboards, and data pipelines supporting Business and Marketing teams. Partners with senior stakeholders and AI Engineering to implement AI and machine learning workflows, predictive insights, and automation. Develops documentation, drives analytics engineering best practices, and mentors team members. Requires strong SQL, Python, APIs, data modeling, stakeholder communication, project leadership, and blockchain expertise.

Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.

Supports private-market asset data workflows by processing and reconciling data, monitoring exceptions, maintaining quality standards, analyzing trends, documenting operational logic, coordinating offshore teams, and partnering with Product, Data, and Engineering on process and product improvements.

Performs data analysis, business intelligence, data management, and data quality work for Emerging Payments and AirKey. Builds data solutions, dashboards, metrics, and self-service tools; analyzes complex structured and unstructured data; partners with business and technology teams; and supports metadata, lineage, data governance, security, access controls, and data quality monitoring using Python, R, Spark, SQL, Snowflake, and AWS.

Leads enterprise data operations, integration, pipeline automation, governance, and data quality across on-premises and multi-cloud environments. Serves as the senior technical escalation point, manages vendor and data partner relationships, drives process automation and self-service reporting, supports international data expansion, and mentors analysts. The role requires advanced SQL, analytics, visualization, big data architecture, ETL/ELT, cloud platform, API integration, governance, and stakeholder communication expertise.

Analyzes complex datasets to generate business insights, translates requirements into data solutions, assesses data quality, supports governance, develops scalable data frameworks, and presents findings to stakeholders. The role also mentors junior analysts and contributes to data modeling, visualization, documentation, and data-driven decision-making across cloud and big-data environments.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

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.

Develop interactive Power BI dashboards and automated reporting processes using existing databases. Analyze Institutional Review Board data to identify trends, performance metrics, workflow improvements, and actionable operational insights. Collaborate with stakeholders, manage multiple projects and deadlines, and support administrative or project-specific responsibilities. The role is hybrid, grant-funded through November 2027, and requires residence in New York, New Jersey, or Connecticut.

Analyze STI surveillance, laboratory, epidemiologic, and large external datasets; develop database queries; interpret findings; create reports and visualizations; document code and methodologies; support quality assurance, program evaluation, surveillance, outbreak response, grants, and epidemiologic studies. The role also contributes to study design, sample size calculations, scientific presentations, manuscripts, and intern supervision.

Collects and analyzes call and chat data, develops dashboards, evaluates Navigation Services Hub performance, and recommends improvements. The analyst synthesizes findings into reports, presentations, scientific papers, and stakeholder communications, collaborating with program leadership to measure outcomes and advance gender-affirming care access initiatives.

Analyzes and manages gender-affirming care fund data, monitors grantee performance, evaluates initiatives, develops surveys and interviews, prepares reports and presentations, synthesizes findings, and recommends improvements to strengthen access to care and inform strategic planning.

Owns customer analytics data foundations across North America by building reliable datasets, pipelines, integrations, automated workflows, semantic models, dashboards, and reporting products. Performs customer segmentation, lifecycle, behavioral, and commercial analysis; validates data quality; resolves production issues; and applies automation and AI where valuable. Partners with CRM, e-commerce, retail, customer care, marketing, finance, and technology teams to translate business needs into scalable, maintainable self-service solutions.

Supports private-market document processing, data-quality reconciliation, exception triage, workflow management, and offshore team coordination. Serves as a subject-matter expert on private-market data, analyzes trends, documents operational logic, identifies process improvements, and collaborates with Product, Data, and Engineering teams on roadmap and systemic fixes. Provides operational summaries and data-quality reports to support client-facing teams.

The Data Analyst partners with Risk Management to gather requirements, analyze data, calculate risk measures, and build dashboards. Responsibilities include developing ETL pipelines and data models, ensuring data quality, documenting analytics, applying testing and deployment practices, evaluating emerging technologies, and collaborating with front-office and technology teams to implement risk solutions.

Collects, analyzes, reconciles, and enters case-related information into databases, documents, and spreadsheets for the United States Attorney’s Office. Maintains physical files, tracks case status and deadlines, coordinates information requests, prepares reports and correspondence, performs case-related word processing, and provides timely updates while supporting asset forfeiture and law enforcement activities.

Collects, analyzes, reconciles, and enters information from multiple sources; maintains case files and database records; tracks deadlines; coordinates information requests; prepares accurate documents, reports, summaries, and status updates; and performs legal case-related word processing for the U.S. Attorney’s Office Asset Forfeiture Section.

Produces client-facing weekly and monthly reports, dashboards, and actionable insights for medical communications programs. The role collects, combines, queries, formats, and analyzes data from multiple sources; defines client KPI reporting; supports BI and development teams; maintains reporting standards; identifies automation opportunities; and develops requirements for automated workflows. It also requires strong QA, data accuracy, visualization, collaboration, and communication skills.

Analyzes qualitative and quantitative program data, client outcomes, and interventions for street outreach and transitional housing programs. Manages data processes, reporting, documentation, data quality checks, and reporting automation. Supports evidence-based decision-making, coordinates with internal departments and external stakeholders, and helps design larger-scale data projects.

Lead product analytics projects from data modeling and metric design through advanced analysis and implementation. Develop scalable product metrics, AI-powered analytics automations, self-service analytics experiences, and trusted data models. Partner with Product, Engineering, Go-to-Market, and data teams to solve complex business problems, influence senior stakeholders, and deliver executive-ready recommendations.