Top Data & Analytics Jobs in New York City, NY
The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.
The Senior Analyst will enhance data-driven decision-making by analyzing complex datasets, collaborating with Product Managers, and providing actionable insights. Responsibilities include conducting research studies, performing advanced analytics using machine learning techniques, and communicating findings to stakeholders to guide strategic decisions.
The Senior Data Scientist is responsible for performing data analysis and providing quantitative solutions to business problems. This includes developing and implementing prediction and optimization models, maintaining existing mathematical procedures, and supporting internal and external teams. The role also involves mentoring data scientists and communicating findings to both technical and non-technical audiences.
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As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.
Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.
The Cloud Cost Analyst supports cloud modernization initiatives through the analysis, forecasting, and optimization of cloud expenses. Responsibilities include monitoring cloud spending, developing financial reports, identifying cost-saving opportunities, assisting in budgeting, and analyzing vendor contracts to optimize resource expenditures during migration projects.
As a Lead Data Engineer at DICK'S Sporting Goods, you will design and manage data platforms, ensuring scalability and reliability. Responsibilities include automating CI/CD pipelines, maintaining enterprise data solutions, creating dashboards for monitoring, and driving technical strategies for cloud resources. Proficiency in coding/scripting and experience with cloud platforms and Infrastructure as Code is required.
The Data Analyst II will lead data integration, develop analytical models, build dashboards, and perform analyses to support workforce data trends and resource allocation for decision-making. Responsibilities include using mathematical and statistical methods to analyze data, ensure alignment with standards, and provide insights for recruitment and retention initiatives.
The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.
The Actuarial Analyst will analyze risk exposure and design tailored insurance programs for corporate clients. Responsibilities include evaluating risk profiles, collaborating with brokers, conducting data analysis using actuarial tools, and communicating findings to clients. The role also involves ongoing professional development and pursuing actuarial credentials.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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