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Top Data & Analytics Jobs in New York City, NY
The Senior Analyst will enhance Finance & Risk Analytics by collaborating with Finance teams for strategic decision-making and developing reporting solutions. Responsibilities include data analysis, creating reports and dashboards, interpreting data for insights, and building analytical tools.
The Staff LLM Data Scientist will design and fine-tune large language models for tasks like Q&A and summarization, build advanced retrieval augmented generation pipelines, implement model evaluation frameworks, and deploy models, collaborating with product and engineering teams to create impactful generative AI solutions within the investment space.
As a Junior Pricing Analyst at Arbol, you will use Python to quantify and price climate and weather risk. Responsibilities include exploratory data analysis, cleaning and processing weather data, and communicating pricing details with stakeholders. A background in Finance or Meteorology/Climate Science is beneficial.
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The Staff Data Engineer will design and maintain scalable data infrastructure and pipelines, develop full-stack applications, and ensure efficient data integration. They will work closely with data scientists and engineers to support AI-driven products and improve data processing and analytics capabilities.
As a Senior Data Engineer, you will build complex backend systems and develop data pipelines. You'll lead initiatives in data ingestion and pipeline automation, mentor junior team members, and collaborate on setting long-term goals. Your role includes using AWS cloud architectures and communicating with stakeholders effectively.
As an Operations Data Analyst, you will support various departments by analyzing performance metrics and presenting data-driven findings to enhance decision-making and operational efficiency, ultimately focusing on healthcare quality and cost reduction.
The Senior Manager, Network Analytics, will evaluate network performance through data analysis to improve care quality and reduce costs. Responsibilities include developing strategies, managing analytic projects, and leading a team of analysts. The role requires collaboration with stakeholders and effective communication of insights to non-technical colleagues.
The Product Analyst II will use data-driven insights to enhance SEO strategy and improve website visibility. Responsibilities include conducting keyword research, designing A/B tests, monitoring SEO performance metrics, and building predictive models to guide marketing strategies. Collaboration with product management and engineering is key to product roadmap planning.
As a Growth Analyst, you will design and conduct experiments, strategize bids for marketing traffic, manage campaign launches, and collaborate with cross-functional teams to leverage data for enhancing customer acquisition and engagement.
The ESG Quantitative Analyst / Developer will create automated solutions for ESG data delivery and analytics. Responsibilities include managing complex portfolio reporting, ingesting data from vendors, and applying quantitative research methods to derive investment insights.
As a Senior Machine Learning Engineer, you will enhance entity resolution algorithms, predict behaviors of small businesses, and develop ML infrastructure. Your work will focus on building reusable frameworks, engineering scalable systems, and collaborating with data scientists and engineers to ensure optimal system performance.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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