Top Analytics Jobs in NYC, NY

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The Actuarial Consultant will lead pricing initiatives, collaborate with technology and data teams, and perform complex actuarial analyses for Personal Lines products.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

Lead the group pricing team, manage rate development for various group benefits, enhance pricing models using predictive analytics, and align pricing with business strategies.

The Sustainability Specialist will analyze sustainability metrics, collaborate with design teams, and develop strategies to enhance sustainability in built environments.

The Senior Operations Analyst will analyze data to identify trends, develop strategies for operations, and collaborate with various stakeholders to improve processes and metrics.

The Associate Actuary analyzes data to forecast financial information, supports strategic decisions, and develops reports while collaborating with stakeholders.

The Senior Analyst will manage data, conduct quantitative analysis, develop business cases, and ensure project deliverables with a focus on client communication and team collaboration.

The Marketing Data Analyst will analyze healthcare marketing data, linking tactics to patient behavior, and produce actionable insights for clients using advanced analytical techniques and tools.

The People Analytics Specialist will manage data pipelines, produce reports, and support talent acquisition with analytical insights to improve hiring strategies.

The Product Analyst will analyze blockchain data, develop data visualizations, and collaborate across teams to optimize data-driven strategies.

Seek a Data Analyst to transform metrics into insights, build dashboards, support stakeholders, and ensure data quality at ShopMy.

Lead analysis and reporting of regulatory data for P&C insurance, collaborating with teams to build SQL queries and modern data pipelines.

The Analyst will support operations and analytics for Ares Insurance Solutions, involving asset management, reporting, model validation, and relationship building.

As a Growth Analytics intern, you will assist in data analysis, support strategic projects, and collaborate with teams to drive insights and recommendations.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The Senior Associate, Data & Analytics role involves data analysis, developing data-driven solutions, maintaining data pipelines, and collaborating with stakeholders to support business initiatives.

The Analyst will leverage data analytics to enhance hardware performance, monitor KPIs, collaborate with various teams, and impact operational strategies.

The Data Analytics Associate will analyze healthcare data, manage research projects, and support customer engagements using analytics tools to drive insights.

The Staff, Advanced Analytics role involves driving data-driven decisions through analysis, statistical modeling, and metrics development to improve the customer journey at Airbnb.

As a Senior Analyst for the Customer Data Platform, you will ensure accurate and actionable customer data, develop audience segments, and optimize journeys while collaborating with technical and business teams.

The Global Strategic Feasibility Analytics Lead develops feasibility data analytics initiatives, transforms data into insights, collaborates with stakeholders, and drives data-driven decision-making for study planning.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

As a Senior Data Analyst at Mission Lane, you will drive analytics for Credit and Product Analytics, working cross-functionally to analyze product performance and enhance decision-making through data-driven strategies.

The Data Scientist II will develop statistical models and ML solutions to enhance workforce planning and optimize resource allocation. Responsibilities include analyzing data, deploying algorithms, and collaborating with cross-functional teams to meet business needs.