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Top Data & Analytics Jobs in New York City, NY
The Sr. Advisors are responsible for designing and developing models and algorithms for marketing measurement, using big data analytical tools to process data, and implementing machine learning techniques for identity resolution. They will also adapt software tools for R&D environments and extract actionable information from various data sources.
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The Senior Analyst, Pricing & Product role involves conducting competitive and market pricing analysis for commercial lines, establishing metrics for a new product line, and monitoring pricing competitiveness over time. This position requires data manipulation and the use of analytical tools to support product profitability and sales growth.
The Sr Clinical Data Specialist is responsible for ensuring the accuracy, consistency, and completeness of healthcare data through developing data quality standards and engaging with customers. The role requires strong analytical skills to identify gaps in processes while maintaining high-quality data and collaborating with cross-functional teams to align practices with customer and operational needs.
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The Performance Analyst will analyze data, develop KPIs, and provide actionable insights to improve business performance. Responsibilities include writing SQL queries for data extraction, creating performance reports and dashboards, and collaborating with stakeholders for data needs.
The Merchant Payment Processing Analyst will ensure efficient merchant payment processing by monitoring systems, analyzing payment data, resolving issues, and optimizing processing systems while collaborating with technical teams. In-depth analysis of network costs and payment fees is required, with the use of SQL and Python for data analysis and reporting.
The GIS Analyst will maintain GIS datasets and publish ESRI services for RapidDeploy products, ensuring data reliability and user-friendliness. Responsibilities include engaging with customers to determine requirements, managing GIS projects, creating maps, and optimizing datasets. The role involves custom scripting and process improvements to enhance operational efficiency in GIS functionalities.
As a Senior Machine Learning Engineer at TextUs, you will design data pipelines, build machine learning models, and collaborate with cross-functional teams to integrate ML capabilities into products. Your role will involve developing algorithms, optimizing data processes, and sharing insights on AI advancements to promote data-driven decision-making.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
The Senior Customer Success Analytics Analyst will support digital customer engagement teams, analyzing performance metrics, and providing insights to optimize customer strategies. This involves developing dashboards, forecasting, customer segmentation, and enhancing automation to improve overall customer experience and satisfaction.
As a Senior Data Analyst, you will lead data-driven decisions by developing a deep understanding of business drivers, promoting self-service analytics, and communicating findings to stakeholders in a clear, impactful way. Your role involves managing long-term projects and collaborating closely with various teams to push LeafLink’s thought leadership in the cannabis data space.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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