Top Data & Analytics Jobs in NYC

Develop advanced algorithms and execute statistical techniques on large data sets. Evaluate emerging datasets and technologies, contribute to thought leadership, and have strong analytical and quantitative skills.

Build, orchestrate, and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, collaborate with client teams, and contribute to researching and evaluating new technologies.

Decision Analytics Consultant specializing in pharmaceutical CMC development and tech transfer within the Supply Chain and Manufacturing practice at ZS. Responsible for serving as a subject matter expert, managing projects, and contributing to practice development.

Senior Manager, Data Scientist role at Capital One focusing on business card & payments. Partner with cross-functional teams to deliver customer-centric products. Utilize Python, Conda, AWS, H2O, Spark for data insights. Build machine learning models and translate complex work into business goals.

Seeking a Principal Associate CSOC Analyst with 4 years of experience in Cyber Security investigation and documentation, SIEM, and incident response. Responsibilities include threat detection, threat intelligence analysis, malware analysis, and mentoring junior analysts.

Join the fast-growing Capital One Travel team as a Senior Business Analyst, responsible for analyzing business performance, assessing strategic opportunities, and designing marketing campaigns to drive business growth. Collaborate with cross-functional teams to develop and implement marketing strategies and experiments. Contribute to the growth of a travel rewards business in a collaborative and innovative environment.

Conduct research, analysis, and reporting in the DeFi space. Stay updated with industry trends and provide valuable insights. Act as a subject matter expert.

Lead the analytical optimization of marketing programs throughout the marketing lifecycle, build strong relationships with clients, collaborate across data & analytics functions, advocate for specific data needs, maintain processes and controls, and coach junior team members in campaign analysis.

Senior Associate on the Data Taxonomy team responsible for leading projects related to product adoption, enhancements, production fixes, and data integrity. Collaborate with stakeholders and technology team to prioritize features, drive product enhancement backlog, and ensure platform stability. Develop project reports, conduct data analysis, and track defects throughout the Agile Development Lifecycle.

Lead strategic planning and execution for scalable machine learning infrastructure and products at JP Morgan Asset Management. Collaborate with data science and business teams to deliver end-to-end machine learning applications and data pipelines. Manage and support a global team of ML and MLOps engineers. Operate in a multi-cloud environment with a focus on AWS and Azure technologies.

Analyst role focused on Project Systems and Fixed Assets implementation and migration to S/4 HANA Finance. Responsibilities include understanding business requirements, designing functional solutions, implementing SAP systems, and serving as a liaison between teams.

Responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. Leading improvements of existing data solutions and development of new solutions to address business requirements.

Senior Manager role in Financial Crimes Technology focusing on fraud data and analytics. Responsibilities include consulting in the financial crimes space, defining and driving fraud transformation at client organizations, and leveraging data analytics for business results.

Manager role focusing on fraud data and analytics within the financial crimes space. Responsibilities include driving end-to-end fraud transformation, scoping strategies, and consulting in a regulatory environment. Requires expertise in Python, SQL, data management, and business intelligence.

As a Senior Associate in Financial Crimes Technology - Data and Analytics at PwC, responsibilities include using feedback and reflection, critical thinking, and reviewing work for quality. Preferred qualifications include a bachelor's degree and knowledge of FircoSoft products.

The Senior Data Analyst at Peloton will lead key projects to bring and improve insight into key enterprise metrics and drive action based on the resulting insights. They will partner closely with teams across the company to understand their problems and design datasets that can deliver actionable insights in a scalable and sustainable way. They will communicate findings and implications for partners from various functions.

Design and implement data pipelines, optimize data infrastructure, monitor pipeline performance, stay updated on data engineering technologies, and collaborate with multiple teams for analytics and reporting data needs at Peloton.