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Top Hybrid Data & Analytics Jobs
As a Senior Information Security Analyst at Iodine, you will manage security operations, respond to incidents, design information security programs, and collaborate with stakeholders on Cyber Security exercises, including Tabletop and Red Team activities.
The Revenue Forecast Analyst role involves optimizing revenue processes and performance in sales by managing and analyzing revenue forecasting tools, providing insights, and refining metrics to maximize growth. The analyst will collaborate with various stakeholders, support data-driven decision-making, and help improve sales operations through detailed analysis and reporting.
As a Business Analyst at Northwestern Mutual, you'll work in a cross-functional team to define and drive business results through technology. Your role includes gathering requirements, authoring user stories, assisting with testing, and using project management principles. You'll need to analyze current and future business states while collaborating with various stakeholders.
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The Program Research Associate, known internally as a Curator, is responsible for verifying and maintaining program data, researching and adding new organizations to the network, responding to external requests, and participating in team meetings. The role is entry level with opportunities for learning and development.
The Retail Sr. Analyst will support the Grocery business through data analysis, manage performance tracking, and act as a data expert for cross-functional teams, focusing on driving insights and supporting business strategies in the Retail and CPG sectors.
The Senior/Lead Data Scientist will develop and maintain predictive models, analyze data patterns, and automate analytic procedures. Responsibilities include enhancing decision-making insights for clients, conducting complex analyses, and coordinating across teams for successful project execution.
The Data Scientist will build and maintain predictive models, analyze data to provide insights for business decisions, and generate complex analyses. Responsibilities also include monitoring model recalibrations and reviewing quality controls for corporate data transformation and model scoring.
The Associate Director/Director of Analytics at DataLab USA will manage the entire lifecycle of analytical engagements, deliver data and strategic consulting to clients, maintain partnerships, lead meetings, mentor team members, and develop complex analytic frameworks, ensuring effective execution and improvements in marketing programs.
This role involves developing cellular assays and managing high throughput screens to advance drug compounds. The scientist will work with cross-functional teams, identify useful assays, present research findings, and maintain detailed records while adhering to lab safety standards.
The Staff AI Scientist will lead the development of machine learning models and algorithms for optimizing battery performance and management, conduct data analysis, train and validate models, research advancements in the field, collaborate with teams, and provide technical leadership.
The Senior Battery Data Engineer at Fluence is responsible for developing and optimizing data pipelines for battery performance data, integrating data from various sources, and providing technical leadership. They collaborate with teams to support data-driven decisions and monitor system performance.
The Senior Scientist will lead the development and execution of peptide quantitative assays from discovery to preclinical studies, utilizing LC-MS techniques. Responsibilities include method development, writing reports and SOPs, and managing cross-functional collaboration. The role involves ensuring compliance with regulatory standards and may require acting as a subject matter expert for external interactions.
As a Senior Technical Business Analyst, you will manage data integration and quality assurance for top-tier financial services clients, work in Agile teams, analyze requirements, and optimize applications. Your focus will be on ensuring accurate and accessible data for improved business workflows and user experiences.
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