Top Data Analyst Jobs in NYC, NY

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.

Develop and enhance data analytics solutions for Internal Audit, including automated testing, continuous monitoring, dashboards, reporting, risk analysis, and anomaly detection. Partner with audit teams, data owners, and stakeholders to analyze complex data, document procedures and findings, improve audit processes, and evaluate responsible applications of AI, machine learning, and automation.

Build Confido’s analytics layer by creating dashboards, reports, metrics, and analytical tools for internal and customer users. Analyze large financial and operational datasets with advanced SQL, identify trends and inefficiencies, and translate findings into actionable recommendations. Partner with product, engineering, customers, and other stakeholders to improve data models, deliver analytical projects, and support decision-making across retail, finance, and operations.

Analyze marketplace and product performance using SQL, support experiments and advertising-effectiveness studies, build reusable datasets, QA metrics, and document analytics. Collaborate with analytics engineers, data scientists, product managers, engineers, and commercial teams while developing skills in statistics, causal inference, Python/R, and marketing science.

Own analytics engineering and the data transformation layer by designing data models, warehouses, cubes, semantic layers, and governance frameworks. Improve data quality, observability, metadata, self-service analytics, dashboards, and reporting platforms. Analyze large datasets, optimize queries, conduct testing and code reviews, support modernization initiatives, and collaborate across teams to deliver trusted metrics and insights.

Analyzes payments and banking data to identify trends, improve products, and enhance operational efficiency. Builds dashboards, conducts deep-dive and experimental analyses, monitors customer behavior, and delivers actionable insights to stakeholders. Partners with product managers, engineers, and leadership to define success metrics, ensure data quality, support fraud response, and improve analytics processes.

Advances enterprise data governance by maintaining metadata, glossaries, taxonomies, catalogs, lineage, and stewardship workflows. Supports data classification, quality checks, lineage validation, and governance policies while partnering with data product managers, business SMEs, and engineers. Drives adoption through training and playbooks, contributes to Agile delivery using Jira, and helps improve data discoverability, compliance, and trust across the organization.

Leads clinical pharmacy program analytics by defining governed clinical logic, building SQL transformations and curated datasets, designing outcome evaluations, and creating Power BI and Sigma dashboards. Translates pharmacy guidelines, claims, and drug reference data into reliable metrics, validates predictive models, manages data quality, and ensures HIPAA-compliant data use. Communicates insights to clinical, executive, client, and pharmaceutical audiences while mentoring analysts and supporting program design and continuous improvement.

Analyze marketplace supply, demand, pricing, yield, and operational performance within the Finance team. Build models, dashboards, forecasts, and variance analyses connecting operational drivers to financial outcomes. Partner with Operations, Campaign Management, and Pricing & Yield to identify inefficiencies, risks, and opportunities. Present actionable recommendations to leadership, improve reporting consistency, and establish analytical best practices.

Build and maintain Finance dashboards, reports, and scalable data models for invoicing, revenue, collections, payments, refunds, and forecasting. Reconcile data across production systems, Salesforce, Rillet, Metabase, and financial reporting. Establish data quality controls, resolve discrepancies, and keep system definitions aligned. Translate ambiguous business questions into actionable financial insights while communicating findings to technical and non-technical stakeholders.

Own marketing and acquisition reporting, analytics, attribution, audience segmentation, experimentation, KPI development, and dashboarding. Build validated datasets and modular Looker models, partner with data engineers on analytics infrastructure, standardize metrics, and deliver actionable insights. The role also promotes advanced analytical techniques, supports marketing strategy, and trains stakeholders on BI best practices.

Lead the Underwriting Data Analyst team supporting pharmaceutical underwriting, pricing, sales, and client retention. Manage analysts, oversee data collection and quality, develop SQL, Python, and R infrastructure, create analyses and reporting, support pricing models, review analytical outputs, and coordinate cross-functional initiatives. Train team members, manage work queues, document processes, and provide subject-matter expertise on underwriting data and systems.

Supports Dow Jones Data Management projects through customer-facing report delivery, data analysis, dashboard development, trend interpretation, and stakeholder communication. The intern will use data visualization tools, internal data lakes, quantitative analysis, and data exploration to generate insights and understand user behavior. The role requires SQL or Python familiarity, advanced Excel skills, and enrollment in an undergraduate quantitative degree program.

The Data Analyst will lead end-to-end analytics, develop metrics and dashboards, automate reporting and data-quality checks, and build lightweight scoring, classification, similarity, and risk-adjustment models. The role partners with Sales, Operations, Product, and leadership to answer ambiguous business questions, standardize reporting, and influence priorities. Strong SQL and Python skills are required, along with dashboard development and stakeholder communication. Healthcare data, dbt, Snowflake, and engineering collaboration experience are preferred.

Leads cross-agency efficiency and service-delivery initiatives for the Mayor’s Office. Responsibilities include analytical problem-solving, data analysis and visualization, strategic planning, project implementation, stakeholder coordination, risk mitigation, change management, progress reporting, and preparation of communications for senior stakeholders. The role supports policy, process, technology, data, human resources, and training-related projects across city agencies.

Leads analytics projects evaluating Disney streaming product performance and user engagement across Hulu and Disney+. Analyzes navigation, pathing, subscriber, content, messaging, and churn data; investigates anomalies and root causes; develops optimization recommendations; partners with Product, Engineering, and Data teams; and creates Tableau and Looker dashboards and reports. Applies advanced SQL, statistical methods, Python or R, data warehousing concepts, and compelling stakeholder communication to deliver actionable insights.

Own data center OpEx and power planning, forecasting, budgeting, variance analysis, financial reporting, scenario modeling, and cost optimization. Build complex operational and financial models, develop dashboards, and provide actionable insights to executive leadership. Partner cross-functionally with data center operations, capacity planning, power and sustainability, and sales teams to support strategic decisions and business growth.

Build and maintain dbt data models and BigQuery analyses supporting supply, marketplace, and partner success operations. Investigate data anomalies, create dashboards and reporting, improve fill-rate and fulfillment performance, maintain reliable data infrastructure, and eventually develop predictive models. Collaborate with Supply, Marketplace, Partner Success, Product, and Engineering teams to translate business needs into scalable data solutions.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Performs data profiling, quality analysis, governance, metadata and lineage management, and Master Data Management support. Collaborates with data owners, stewards, business stakeholders, and technical teams to resolve issues and improve governance processes. Maintains glossaries, dictionaries, controls, metrics, and reports; supports enterprise data initiatives, communications, training, and stakeholder adoption. Provides guidance to less experienced analysts while applying governance standards and documenting business requirements.

Develops Power BI dashboards, leads data migration to a new fundraising and ERP system, validates and reconciles data, gathers reporting requirements, builds Power Automate workflows, documents processes, supports staff, and coordinates third-party data integrations. The role requires strong analytics, business intelligence, SQL, data modeling, reporting, and stakeholder communication skills, with approximately five years of experience.

Summer Analyst in Data & AI will design and build end-to-end data, analytics, and ML/AI solutions using cloud and modern tooling. Responsibilities include developing models and pipelines, running experiments tied to business KPIs, supporting data governance and compliance, creating dashboards, and collaborating in agile teams while receiving mentorship and training.

Supports workforce analytics and HR operations for a public health division. Maintains tracking systems, analyzes HR capacity, compliance, personnel actions, training, performance evaluations, salary parity, and travel requests. Develops reporting and decision-making tools, streamlines cross-divisional workflows, reviews PATS and OARS submissions, maintains organizational charts, and provides HR process guidance and administrative support.

Paid data analyst intern to collect, clean, and analyze e-commerce and marketing datasets, build dashboards, generate customer and performance insights, support market research, and collaborate with marketing, product, and sales teams to drive data-informed decisions.

Supports the Data Analytics & Reporting Team by collecting property and energy data, maintaining property records in Salesforce, managing energy data in SQL, and assisting with compliance requirements under Local Law 84 of 2009. The role supports energy management initiatives for New York City government operations and is hybrid, requiring on-site work three days weekly.