Top Entry Level Data & Analytics Jobs
The Associate Analyst will conduct ESG analysis, collect data on environmental and social issues, write reports, assist Credit Analysts with ESG evaluations, and handle projects related to ESG frameworks. The role involves collaboration with experienced investors and participation in investment conferences.
As a Data Engineer, you will design and optimize scalable data pipelines, develop and maintain data architectures, collaborate on business requirements, and implement data quality checks. You will provide technical guidance to junior staff and stay updated on industry trends to drive innovation.
The RevOps Analyst will support the sales team by providing analytics and insights, managing sales reporting, assisting in sales funnel management, and evaluating marketing and sales productivity.
The Compliance Analyst evaluates outside business activity requests from registered representatives to ensure they do not compromise responsibilities to the company or customers. Responsibilities include analyzing risks, communicating with the sales force, presenting findings to management, and ensuring compliance with legal standards.
As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.
The Data Scientist role at HUMAN involves conducting research in emerging product capabilities to identify fraud, developing automated fraud detection techniques, supporting experiments on prospects and clients, and actively participating in team responsibilities like reviewing work and monitoring anomalies.
The Technical Business Analyst will bridge the gap between business needs and technology solutions, gather requirements, create software specifications, and prioritize tasks within an Agile framework, ensuring successful project delivery.
The Research Associate will manage compound inventory using the Mosaic SampleBank system, process new compounds, collaborate with various scientific teams for compound requests, and troubleshoot lab instrumentation. Attention to detail and the ability to communicate effectively are essential.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
As a Scientist I at QuidelOrtho, you will conduct in-process and final release testing in a quality control lab, maintaining analytical instruments and ensuring compliance with good laboratory practices. Responsibilities also include data analysis, documentation, and collaboration with technical groups in a regulated medical device environment.
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