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Top Data & Analytics Jobs in New York City, NY
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
The Data Platform Domain Lead will define and execute the data platform strategy, ensuring it aligns with the overall goals of Petcare. This role involves leading the delivery of platform capabilities, managing cross-functional teams, and optimizing use of data resources while monitoring key performance indicators. Strong stakeholder collaboration and governance will be key to success in this role.
The Research Analyst will support clients through innovative research solutions, collaborating on survey design and managing multiple projects. They will deliver actionable insights to enhance brand strategies while maintaining strong client relationships.
As a Principal Data Scientist, you will develop machine learning models for pricing optimization and demand forecasting in the hotel industry. Leading projects and guiding junior team members, you will apply statistical and machine learning techniques to inform strategic decision-making and enhance revenue management offerings.
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The Data Scientist will develop innovative data solutions, leveraging statistical tools and machine learning to enhance marketing performance. Responsibilities include designing workflows, building models, visualizing data in user-friendly applications, and collaborating with cross-functional teams to address client data challenges.
As Associate Director of Data Strategy, you will manage multi-channel data and predictive analytics projects, helping clients maximize data utility through solutions tailored to their marketing needs. You will lead a team of Data Strategy Managers and guide clients in building comprehensive data models to enhance measurement and performance.
The Sr. Analytics Engineer will own the architecture and infrastructure for data ingestion, transformation, and documentation, empowering analysts and stakeholders. Responsibilities include developing dashboards, ensuring data accuracy, and collaborating with teams to enhance the analytics stack.
The Global Support Operations Analyst will manage product release communication processes, enhance support workflows, and drive operational efficiency through metrics and KPIs. They will collaborate across teams and ensure customer coordination, process improvement, and reporting on support operations.
The Staff Credit Risk Analyst at EarnIn will enhance risk management strategies through data analytics and collaboration with cross-functional teams. Key responsibilities include analyzing risk trends, defining performance metrics, and refining risk models in partnership with the machine learning team, ultimately aiming to mitigate credit risks and support business growth.
The Sr. Principal SAP Analyst will lead the design, configuration, implementation, and support of SAP EWM, ensuring integration with other SAP modules. Responsibilities include gathering requirements, managing projects, training junior members, and maintaining documentation while advocating for technology decisions across the IT organization.
The 911 Technical Analyst supports and maintains the 9-1-1 solutions, manages data for 9-1-1 systems, troubleshoots call routing issues, and communicates effectively with both technical and non-technical personnel. They are also responsible for documenting processes and providing on-call support for critical incidents.
The Analyst – Epic Application Management is responsible for providing EHR design, build, testing, and troubleshooting for clients. Responsibilities include problem-solving, managing system requests, monitoring issue queues, resolving customer calls, building EHR applications, and performing system audits. The role requires excellent communication skills and proficiency in Microsoft Office applications.
The Application Support Analyst provides advanced support for clinical and business applications, managing support requests, documentation, and vendor relationships. Responsibilities include responding to support requests, managing documentation, maintaining vendor relationships, planning upgrades, achieving certifications, and participating in analyst-led projects. Required experience includes 2+ years in healthcare IT or equivalent position, analytical thinking, ITIL-aligned service management, and strong communication skills. A Bachelor's degree in relevant fields is required, and willingness to participate in on-call rotation may be necessary for 24x7 support.
The Senior Data Engineer performs analytics and statistical modeling on existing datasets, focusing on data processing, cleaning, analysis, and visualization. This role involves managing projects, coaching lower-level professionals, analyzing complex business requirements, and producing reports and dashboards. The engineer conducts quantitative and qualitative analyses to support decision-making processes.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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