Top 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.
Lead centralized Data functions at Square, architecting Data strategy, overseeing Data Science, Analytics, Machine Learning, and Data Engineering teams. Drive data platform roadmap, establish data governance, enhance product innovation, deliver insights, and build top-tier data team. Require 15+ years experience in data-related fields, extensive leadership in data-focused teams, and proficiency in data technologies like SQL, Looker, and Python.
Empower data-driven decision-making in the full lifecycle of product development for Square's Food & Beverage team. Use descriptive and predictive analytics, statistics, and machine learning to provide insights to sellers and drive strategic decisions. Collaborate with cross-functional partners and communicate analysis to executives.
Looking for a Senior Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, managing core metrics, advising senior stakeholders, and building processes to identify high-risk activity. Key tasks involve fraud prevention, developing data pipelines, implementing machine learning solutions, and collaborating across various teams at Square.
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.
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Join a growing Resource Optimization Center (ROC) supporting MetLife's Global Customer Solutions Organization as a Command Center Analyst II. Responsibilities include real-time monitoring of call flow, agent resources, system health, and call center performance to drive operational efficiency and customer experience. Requires expertise in NICE IEX, Avaya CMS, Intradiem, network troubleshooting, incident management, financial and statistical analysis, process improvement, project leadership, and strong communication skills.
Lead Data Analyst responsible for designing, building, and maintaining data flows and analytics products to support security vulnerability detection and remediation. Collaborate with teams to define analysis requirements, develop reports and visualizations, and provide actionable insights for effective remediation strategies. Lead data engineering tasks, troubleshoot issues, and support team members. Required experience in data analytics, stakeholder requirements gathering, data analysis, and strong coding skills in Python.
The MDGO Data Governance Technical Data Steward role involves supporting enterprise data management tools, integration projects, and technical solutions architecting for Data Governance and Data Quality. Responsibilities include engaging with technical staff and stakeholders, designing solutions, collating project requirements, and providing technical support throughout project lifecycle.
Seeking a senior-level Product/Business Analyst with strong analytical skills and experience in the Clinical Trials domain. Responsibilities include improving efficiency and simplifying processes within Trial Data Management. Collaborate with stakeholders to uncover user needs, plan and conduct testing activities, and provide valuable IT solutions. Bachelor's degree in relevant field and 5 years of experience required. Preferred experience working within a global organization.
Seeking a professional with strong analytical skills and experience in Clinical Trials to implement vision and strategy for software products in Trial Data Management. Responsibilities include working across areas to support programs, conducting testing activities, and managing business process and stakeholder needs. Preferred experience includes working within a global setting.
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.
Seeking a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, managing core operational metrics, advising senior stakeholders, and building processes to identify and prevent high-risk activity. Must diagnose problems, design experiments, develop data pipelines, partner with cross-functional teams, experiment with machine learning tools, and develop executive presentations.
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.
Join a world-class Data Science team to drive insights about products and customers, collaborate on product and business problems, apply technical expertise, shape product development, and communicate insights to leadership teams.
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