Top Remote Data & Analytics Jobs in New York City, NY
As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.
The Principal Sampling Statistician will design and execute sampling and weighting plans for surveys, apply statistical principles for data analysis, prepare reports and presentations, and advise on statistical methods related to sampling. They will also advance the organization's reputation through conferences and client consultation on statistical issues.
The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
As a Data Annotator, you will label, curate, and review data to train and evaluate AI models. Responsibilities include annotating multimodal data, generating questions, and ensuring quality control of your work. This remote role offers flexible hours and the potential to influence AI advancements through precise data handling.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
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The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.
As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.
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The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.
The Manager, Data Governance will lead data governance initiatives, ensuring data accuracy and reliability primarily within Salesforce. Responsibilities include managing a team, developing a governance strategy, resolving data issues, and collaborating across departments to enhance data quality and support business decisions.
As a Data Insights Analyst, you will support business decisions through advanced analysis, coding, and creating visuals using BI tools. You'll work closely with senior leadership to uncover shopper behavior trends, manage reports, and deliver actionable insights to impact business revenue.
As a Junior Data Engineer, you will build and support data migration staging environments and warehouses, assist with business and regulatory reporting, profile downstream data for anomalies, collaborate with QA to develop test cases, and create reporting scripts while reviewing peer work.
The Funding Analyst I at Exeter Finance is responsible for accurate verifications, credit investigations, and analysis of loan documentation. They ensure compliance with policies, guidelines, and laws while building relationships with dealers and customers for optimal funding processes.
Top remote Companies in New York City, NY Hiring Data + Analytics Roles
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