Top Data & Analytics Jobs
The Senior Scientist in Analytical Development oversees analytical method development and GMP activities for small molecules, peptides, and biological products. Responsibilities include managing CROs, authoring analytical documents, defining stability studies, and contributing to regulatory filings while collaborating with internal and external teams.
The Lead Data Analyst will manage a small team while collaborating with Product and Engineering teams to create scalable reporting, analyze A/B tests, and develop revenue dashboards. Responsibilities include providing insights to drive revenue for a network of creators and handling multiple projects with attention to detail.
As a Senior Revenue Operations Analyst at Trellix, you will provide financial insights, facilitate fiscal planning, manage bookings forecasts, drive pipeline coverage, and support sales leaders in strategic decision-making through data analysis and reporting.
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As an AI Research Scientist at Zoom, you will be shaping the future of AI through groundbreaking research. You will work on AI projects, collaborate with teams, and contribute to the growth of the AI research community.
The Customer Data Intelligence Analyst at Washington Gas will analyze data and create reports and dashboards to support Billing, Collections, Marketing, and Customer Service. The role involves collaborating with IT teams, business units, and senior leadership to improve operational efficiency through data insights and ensuring data integrity across various systems.
As a Data Engineer, you will enhance data processing and analytics pipelines, ensure data reliability and scalability, and integrate data solutions that support business intelligence. You will work collaboratively with teams to improve data structures and establish quality monitoring processes while developing CI/CD pipelines and promoting coding standards.
The NetSuite Business Systems Analyst will lead the implementation of NetSuite ERP by analyzing current business processes, gathering requirements, and documenting necessary changes. They will collaborate with stakeholders, create business requirements documents, and act as a liaison between business and technical teams throughout the project lifecycle.
As a Backend/Data Engineer, you will develop backend data tools and services, work with the Data Analytics team on technical implementations, review code, and architect cloud infrastructure on AWS while integrating APIs from platforms like Discord and Spotify.
The Sr. Data Scientist will lead machine learning and AI projects focused on enhancing operational efficiency and customer experience. Responsibilities include creating statistical models, collaborating with stakeholders, leading execution of projects, and assessing new data sources. The role requires proficiency in statistical modeling and machine learning, primarily using Python and SQL.
The Principal Database Administrator will support mission-critical database systems, provide technical direction for complex data challenges, and manage multiple projects. Responsibilities include designing, implementing, and maintaining database systems while ensuring performance optimization and after-hours support. Strong expertise in SQL Server, AWS, and Azure is required, along with problem-solving skills and the ability to work in a dynamic environment.
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