Top Data & Analytics Jobs in New York City, NY
The Senior Analyst will lead research study design, apply advanced statistical methods for survey and data analysis, mentor junior analysts, consult with clients on analytic solutions, and support business development initiatives. Responsibilities include project management, effective communication of findings, and overseeing data collection and evaluation efforts.
The Senior Cloud Database Administrator is responsible for maintaining and administering cloud databases in a highly-available 24/7 environment. Key duties include performance monitoring, ensuring security and recoverability, managing upgrades, and providing technical support for application development teams.
The HR People Analyst supports the People Analytics team by analyzing human capital data to inform HR decisions. Responsibilities include data reporting, survey execution, and enhancing data fluency among stakeholders. The analyst will also deliver insights to HR leaders and manage employee data with confidentiality and accuracy.
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As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
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As a Staff Analytics Engineer at Amplify, you will work within data analytics teams to create data models and metrics, enhance processes, and provide insights for educators. Your responsibilities include building analytical models, ensuring data privacy while analyzing performance, and collaborating with data specialists to enhance data practices.
As a Data Scientist at Rentable, you will develop and deploy predictive models, analyze complex datasets using machine learning algorithms, create data visualizations, and collaborate with product and engineering teams to integrate solutions and assess model performance. You will also lead discussions on insights with stakeholders to facilitate decision-making.
The Data Scientist will develop and deploy predictive models, analyze complex datasets, create visualizations, and collaborate with teams to improve product capabilities and business outcomes. This role requires strong analytical skills and the ability to make data-driven recommendations.
The Senior Data Analyst will evaluate the impact of iMentor's programs by gathering and analyzing data, creating reports and visualizations, and providing analytics support across departments. The role requires a focus on data quality and measurable outcomes to improve program effectiveness.
The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.
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