Top Data & Analytics Jobs in NYC, NY

The Director of Enterprise Applications oversees SEO's core application portfolio and manages Salesforce operations. This role involves leading a team to ensure effective software application solutions, maintaining communication with stakeholders, setting enterprise strategic goals, and developing a training program for users.

The Senior Data Engineer role involves developing data pipelines, automating data extraction from BI APIs, performing SQL operations, and ensuring data integrity. The candidate will collaborate with product teams, support data transformations, utilize cloud services, and manage ETL tasks using various tools.

As a Data Onboarding Specialist, you will manage the onboarding and implementation process for large clients, ensuring they have necessary data and dashboards. Your responsibilities include working with client teams, creating reports, reconciling data, analyzing issues, and collaborating with various teams to ensure a smooth implementation.

As a Data Engineer at Kustomer, you will enhance the data architecture and streamline data-ingestion processes, manage ETL processes, analyze data to extract insights, debug data issues, and provide production support for the data pipeline.

The Weather Analyst will conduct applied research in weather prediction while working closely with the commodities trading desk. Responsibilities include analyzing gridded, observational, and satellite data, applying machine learning techniques, and exploring new areas of atmospheric predictability.

As a Statistical Arbitrage Research Analyst at Jane Street, you will analyze input datasets using rigorous mathematical and statistical methods to develop innovative trading strategies across various asset classes. The role involves collaborating with team members, correcting errors in code, and engaging deeply with the complexities of data. Strong communication, teamwork, and a willingness to learn are key.

The Market Data Specialist will maintain and improve the market data feed infrastructure, troubleshoot live issues, coordinate with exchanges and vendors, and collaborate with technology teams. Responsibilities include infrastructure maintenance, debugging tools enhancement, and ensuring data quality for clients.

Lead design and development of scalable data architectures for batch and streaming processing. Optimize ETL/ELT processes and manage database performance. Collaborate with teams to ensure data solutions meet business needs and support decision-making. Drive continuous improvement in data engineering workflows and implement MLOps for machine learning models.

The Senior Business Intelligence Analyst at Octave will collaborate with cross-functional teams to identify business problems, create and maintain operational dashboards in Tableau, and develop data-driven solutions. This role will train stakeholders on dashboards and perform complex data analysis to drive insights and growth.