Top Data & Analytics Jobs in New York City, NY
As a Senior Analytics Consultant, you will collaborate with global retailers to provide tailored analytical solutions, conduct data analysis using Snowflake DB and Kibana, and guide clients on best practices to enhance their strategies against fraud. You will also work closely with internal teams to drive success for Forter's strategic accounts, leveraging your analytical skills and stakeholder engagement.
As a Sr. Experience Researcher at Adobe, you will drive research initiatives from conception to product launch, focusing on user-centered design for the Adobe Substance 3D application suite. Your responsibilities include formulating research questions, conducting studies, synthesizing findings, advocating for customer insights, and collaborating across teams to enhance product design and development processes.
As a Data & Analytics Manager, you will work with post sales teams to translate business problems into analytics solutions, build dashboards and visualizations for customer success, apply data science techniques, and communicate insights non-technically. You'll also create prototype data applications to support customer engagement.
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The Sr. Revenue Operations Analyst will enhance the efficiency of sales and marketing operations through data analysis and management of sales/CRM tools. Responsibilities include optimizing Salesforce, delivering scalable reporting, and collaborating across departments to drive productivity and revenue growth.
The Legal Analyst will publish detailed legal research on corporate restructuring, focusing on Chapter 11 cases, and assist reporters with analysis of market events. Responsibilities include producing in-depth reports and collaborating with a team of professionals to interpret complex legal issues efficiently.
The Deals Desk Analyst will support structure profitable transactions for internal corporate customers, assist in evaluating deals, and ensure compliance with quoting tools. Responsibilities include financial modeling, deal analysis, and collaborating with sales teams to drive large deal closures.
The Private Equity Data Scientist will use data to enhance investment decision-making processes, develop predictive models, and drive digital transformation initiatives. Responsibilities include collaborating with management teams, designing dashboards, monitoring company performance, and implementing data-driven strategies for operational improvement and growth.
As a Data Engineering Manager, you will lead a team of data engineers to build and optimize the Ad EnGage data pipeline. This involves managing project workflows, addressing data engineering challenges, and collaborating across teams to define requirements and execute data-driven solutions.
As a Senior Data Science Consultant, you will collaborate with clients to understand their data needs, analyze large datasets, build predictive models, and create data visualizations to derive insights. You will also contribute to internal projects and work closely with engineering teams to address business challenges through data-driven solutions.
The Data Scientist will develop and evaluate machine learning, NLP, and Generative AI models, working on data pipelines and model optimization. This role involves documentation, problem-solving, and ensuring adherence to best practices in ML model development, all while collaborating with the data science team.
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