Top Hybrid Senior Level Data & Analytics Jobs in NYC
Oversee all US category forecasting activities, provide key inputs into various forums, lead the forecasting process, monitor macroeconomic developments, partner with leadership to quantify risks and opportunities, improve forecasting approach, support business reviews, develop forecast models, work on data analysis, and expertise in advanced analytics platforms and data visualization tools.
Seeking an experienced Senior Analytics Engineer to develop and maintain foundational data infrastructure essential for expansion and scalability. Responsibilities include designing data warehouse, constructing data pipelines, leading quality assurance initiatives, and optimizing data processes. Collaboration with cross-functional teams is key. Requires 7+ years of experience with diverse datasets.
Lead management, tracking, and reporting of GHG emissions and other environmental metrics for a global company. Responsible for overseeing software and inventory management processes, analyzing sustainability metrics, and supporting sustainability goals and reporting requirements.
Featured Jobs
Lead the integration of SAP MDG and BODS for a seamless transition during SAP S/4 transformation. Design and implement SAP MDG and Data Services solutions, ensure data consistency, and collaborate with business users and offshore teams.
Manager role in leading efforts to scale existing data offerings, establish technical strategy for Data Platform, optimize technical ecosystem, and collaborate with engineers and leaders. Requires deep technical knowledge in infrastructure, data, and cloud, with skills in AI/ML, analytics, and troubleshooting.
Seeking a Senior Advertising Data Scientist at Philo to work on ad auction and placement optimization problems, lead the team in balancing monetization and quality of experience, and build data solutions for the streaming service. Responsibilities include modeling, running experiments, analyzing customer value, and market research.
.jpg)
Conduct UX research to understand user needs, behaviors, and motivations for AI and Analytics products. Work with cross-functional product teams to inform product strategy and design decisions. Influence product roadmaps and design decisions through compelling storytelling and research portfolio.
Design data-driven strategies for business-facing products, provide guidance on data science capabilities, collaborate with teams to shape product development, communicate data science concepts to stakeholders.
The Technology Strategy and Execution - Business Analyst will be responsible for delivering high-quality solutions for the Securities Processing E2E team, focusing on the custody business. The role includes project management, system architecture, cross-functional collaboration, testing, implementation, and go-live support.
Seeking a Senior Manager in Data Science and AI to lead the execution and interpretation of AI/ML models, frame problems, and shape solutions with clear communication of data-driven insights. The role is dynamic, fast-paced, and highly collaborative, covering a broad range of strategic topics critical to the business.
Top hybrid Companies Hiring Data + Analytics Roles
See All
.png)
All Filters
No Results
No Results
