Top Analytics Jobs in NYC, NY

As a Data Scientist, you will leverage various data sources to build analyses and models that empower small business owners to make informed real estate decisions and enhance business strategies.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

The Senior Associate will enhance and maintain digital platforms, focusing on data analytics to support benchmarking and performance metrics for clients in the middle market.

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

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

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

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 Senior Data Analyst will modernize data infrastructure, create insights from complex data for strategic decision-making, and collaborate across various teams to drive growth.

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

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

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The role involves leading meteorological research for catastrophe models, applying hybrid modeling approaches, analyzing weather data, and collaborating on risk analytics solutions.

The role involves analyzing P&C data, developing quantitative modeling solutions, and collaborating with business partners to drive data-based decisions.

The Analyst II focuses on enhancing Revenue Cycle operations through data analysis, process optimization, and change management while collaborating with various stakeholders to ensure effective project delivery.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

The Senior Associate will provide portfolio insights and analytics to support investment teams, conduct quantitative analysis, and communicate results. The role requires collaboration across departments and strong technical skills.

The intern will support special projects in data analytics, including administration, research, and development of data-related standards and documentation.

As an Analytics Supervisor, lead a team in data analysis, collaborate with clients, present solutions, and drive business performance through innovative data insights and strategies.

The HR Operations, Data, Analytics & Reporting Specialist is responsible for collecting, managing, analyzing HR data, and improving efficiency through data-driven decision-making and supporting HR projects.

The Senior Manager will provide analytical support, manage client relationships, produce insights, and ensure data quality across projects. Responsibilities include data analysis, reporting automation, and mentoring junior team members.

The Analyst, Advanced Analytics applies statistical modeling for media spending efficiency, improves analytics processes, and maintains stakeholder relationships.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

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