Top Data & Analytics Jobs
The Senior Staff Scientist in Generative AI will develop AI applications for Samsung devices, focusing on model finetuning, prompt engineering, and collaborative project management. They will stay abreast of AI advancements, implement on-device solutions, and manage project lifecycles from R&D to deployment.
As a Lead Data Engineer at Nuna, you will help build scalable data engineering solutions and expand the architecture of a Data Platform. You will work closely with interdisciplinary teams to enhance workflows and improve healthcare products, while also establishing best practices in data engineering and mentorship.
The Power Platform Business Analyst will collaborate with the IT Project Manager and developers to analyze enhancement requests for existing SharePoint sites and Power Platform applications. Responsibilities include documenting requirements, managing project schedules, and leading project management processes throughout the IT project lifecycle.
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The Junior Power BI Developer will focus on report development using Power BI, building reporting models, creating visual reports and dashboards, and ensuring data connectivity. Responsibilities include using DAX for data analysis, implementing security models, and documenting project methodologies.
The Business Analyst will support the Service Operations Director to enhance Customer Service and Provider Claims departments through statistical analysis, algorithm validation, and reporting tools. This role emphasizes driving process improvement, identifying performance trends, and collaborating with cross-functional teams to optimize service operations and the provider experience.
As a Staff Data Engineer, you will drive data platform initiatives, design and optimize data architecture, and implement ETL/ELT processes for analytics and reporting, enhancing insights through machine learning and generative AI technologies.
The Senior Lead Data Analytics Platform Engineer will design and optimize a high-performance data analytics platform, focusing on scalable data systems and cloud-native architectures. Responsibilities include leading teams, optimizing data pipelines, ensuring data quality, implementing best practices in data governance, and driving innovation in data engineering processes.
The Sr. Director of Data Analytics will lead a team to develop data-driven analytic solutions that drive business growth, focusing on areas such as product planning, customer insights, and operations. The role involves consulting with stakeholders, creating dashboards, and improving analytics practices within the organization.
As a Mid-Level Data Scientist, you will work on building models, forecasts, and simulations for sports data products, leverage machine learning and statistical modeling, and collaborate with engineering teams to deploy and improve data-driven products.
As a Data Ops Engineer II at GEICO, you will design and build scalable data systems, ensure data quality, and engage in lifecycle collaboration to enhance services for users. You'll employ programming languages and cloud tools while driving process improvements and mentoring junior team members.
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