Top Analytics Jobs in NYC, NY

Owner of disbursement efficiency: analyze payment rails and routing KPIs, investigate transaction failures, build dashboards and dbt models, partner with Disbursements, Operations, and Product to improve success rates, cost, speed, and user experience.

The Data Analyst will enhance remittance operations by analyzing transaction data, improving disbursement processes, and designing performance metrics dashboards while ensuring user satisfaction and operational efficiency.

The Disbursement Analyst will optimize transaction processes by analyzing data, maintaining performance dashboards, driving defect reduction, and communicating insights to stakeholders, focusing on improving user experiences in remittances.

The Disbursement Analyst ensures efficient money transfer processes at Felix, analyzing data to optimize disbursement metrics and resolve routing issues while boosting user experience for Latino immigrants.

Develop and productionize analytical models and data products to support underwriting and portfolio management. Apply statistical and machine learning methods to insurance datasets, perform exploratory analysis, feature engineering, validation, and create visualizations and presentations for technical and business stakeholders. Partner with underwriting, broking, actuarial, and portfolio teams to deliver scalable underwriting analytics and monitoring solutions.

Develop and productionize underwriting analytics, predictive models, and decision tools using statistical and machine learning techniques. Partner with underwriting, broking, actuarial, and portfolio teams to perform feature engineering, exploratory analysis, model validation, visualization, and monitoring to support risk segmentation, portfolio insights, and underwriting optimization.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.

Use data analytics to identify and reduce operational risk across EP & TBM. Analyze large datasets, perform root cause analysis, recommend scalable process improvements, build dashboards and visualizations, measure initiative effectiveness, automate reporting, and partner with engineering, product, and risk teams to prioritize and implement risk reduction.

Support donor prospecting by researching individuals, foundations, and corporations using screening tools and databases. Create timely prospect profiles and capacity ratings, perform daily and ad-hoc wealth screenings, track donor news, assist with prospect management data integrity, and support reporting to advance fundraising initiatives.

Lead supply-and-demand forecasting for the psychiatry service line: build and maintain S&D models, integrate models into core data infrastructure, define operational metrics (capacity, clinician utilization, hiring targets), run forecast vs. actual audits, and partner cross-functionally to guide hiring, resource allocation, and operational improvements.

Lead pricing strategy analysis for merchant business: design and implement pricing strategies, build and validate financial and analytical models, run scenario analyses, develop forecasts, mine large datasets, and collaborate with senior leaders and business partners to drive strategic initiatives.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

Perform financial due diligence data analytics for middle-market M&A: obtain, validate, normalize, analyze transaction data (revenue, costs, inventory), produce dashboards and visualizations, identify trends/outliers, and communicate insights to deal teams and clients.

Design, develop, and implement statistical and machine learning models to support decision-making and solve complex problems, leading a team or contributing as an individual.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

As an Analyst, you'll execute VPP and demand response programs, optimize asset performance, and develop market strategies in energy storage.

As a Senior Analyst, you will analyze portfolio data, optimize monitoring infrastructure, support strategic initiatives, and enhance AI strategies for operational excellence.

The Associate Director will manage a team, develop statistical models for marketing analytics, and cultivate client relationships to drive business results.

Lead analytical efforts in Real World Data research, develop specifications and methodologies, manage projects, and communicate findings to stakeholders.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

Lead end-to-end strategic projects to optimize health plan programs, perform data-driven analyses, build impact models, present executive recommendations, advise cross-functional stakeholders, mentor junior analysts, and monitor initiative outcomes to improve efficiency and care quality.

Perform financial and data/text mining analysis on large, disparate datasets using advanced SQL and Excel. Produce quantitative and qualitative reports, identify trends and outliers, collaborate with stakeholders to define requirements, develop standard reports/processes, and recommend process improvements related to membership, revenue, and commissions.

Perform senior-level analysis on complex healthcare and business datasets (claims, utilization, financials). Design and maintain reports, dashboards, and ETL processes with SQL/SSRS/Excel; ensure data quality; build forecasts and models; lead projects; present insights to stakeholders; support audits and regulatory requests.