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Top Data & Analytics Jobs in New York City, NY
The Senior Data Scientist will analyze complex data sets, develop data models and algorithms, create visualizations, collaborate on data-driven products, and document findings effectively. The role requires expertise in SQL and Python, along with a strong understanding of private markets and alternative investments.
The Allocation Sr. Analyst manages inventory levels to support Coach's North American Retail strategies. Responsibilities include utilizing allocation strategies, analyzing inventory for over 200 SKUs, collaborating with Buying Partners, and implementing forward-looking strategies. Strong analytical and communication skills are essential for this role.
As a Principal Data Scientist at Overjet, you will lead analytics initiatives, collaborate with cross-functional teams, and provide actionable insights to enterprise customers using data-driven strategies, leveraging Python, SQL, and data visualization tools.
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As a Capture Analyst, you will lead U.S. Government proposal responses, manage projects, identify growth opportunities, and develop templates to streamline capture processes. You will collaborate with various teams to transform technical concepts into engaging proposals and business documents.
The Director of B2B Analytics will lead a team of analysts to uncover trends and insights to improve customer interactions and retention. Responsibilities include managing stakeholder relationships, aligning KPIs with business goals, and ensuring data-driven decision making. The role also requires strong collaboration with various departments and the ability to recommend innovative solutions based on data analysis.
As a Lead Machine Learning Engineer, you will design and implement machine learning solutions, collaborate with product and engineering teams, and oversee project execution. Your role includes writing code, setting project milestones, conducting code reviews, coaching team members, and ensuring best practices for service maintenance and deployment.
The Senior Healthcare Growth Analyst will collaborate with Client Success and Growth teams to identify data needs, conduct in-depth analysis, and create insightful reports to enhance product implementations and client expansions. This role requires strong analytical skills and the ability to communicate findings effectively to stakeholders.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to improve Cedar’s healthcare platform. Responsibilities include deep data analysis, building pipelines, collaborating with engineering teams, and evaluating model performance to enhance patient experiences.
The role involves providing operational and strategic support for iCapital's growth by implementing core strategies, improving processes, and collaborating across departments. The candidate will focus on project management, framework development for business strategies, and conducting research and analysis for decision-making support.
As a Senior Associate in Clinical Database Management, you will oversee processing and reviewing clinical data, ensuring accuracy and compliance with study-specific review plans. Your role involves collaboration with cross-functional teams to create data capture solutions and support knowledge development of data capture tools. You will leverage your skills to meet team targets and contribute to the overall goal of delivering quality clinical data.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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