Top Hybrid Analytics Jobs in New York City, NY

The Decision Analytics Consultant will lead projects utilizing IT and OT technologies to solve business issues in manufacturing. Responsibilities include driving project delivery, leveraging advanced data analytics, and ensuring technology solutions are efficient and scalable while collaborating with clients to achieve Smart Manufacturing objectives.

The Senior Analyst will support strategic projects and the delivery of data-driven solutions to clients. Responsibilities include managing project lifecycles, performing analysis, tracking project progress, and ensuring effective communication with stakeholders. The role requires collaboration with data analytics teams and may involve documenting business requirements and visualizing data.

The GRC Analyst conducts security risk assessments and manages supplier security evaluations. Responsibilities include generating risk assessment reports, liaising with security officers, facilitating risk mitigation plans, and monitoring remediation efforts to enhance risk management. Strong analytical and communication skills are essential for translating complex technical risks to non-technical stakeholders.

As a Senior Data Scientist, you will use machine learning technologies to enhance customer management decisions, collaborate with cross-functional teams, and develop machine learning models from design to deployment, while simplifying processes for better user experience.

The Data Center Selection Manager will lead efforts to improve the quality and cost of colocation sites for Cloudflare, manage vendor relationships, and handle negotiations for new and existing data centers. The role involves cross-functional collaboration and project management while aligning the regional vendor strategy with infrastructure objectives.

The Director of Data Engineering at Hinge will lead and advance the data engineering discipline, ensuring high-quality data pipelines and products for analytics and machine learning. Responsibilities include shaping data strategy, collaborating with cross-functional teams, mentoring engineers, and driving data-driven innovation while maintaining system reliability and scalability.

As a Senior Analyst in Marketing Science & Analytics, you will evaluate marketing effectiveness through data analysis, develop insights for campaign optimization, and collaborate with various teams to establish measurable goals. The role involves ensuring proper measurement methodologies are in place for performance marketing channels and providing regular reports on marketing performance.