Top Data & Analytics Jobs
The Mid-Tier Database Administrator (DBA) manages and optimizes Oracle databases, supports middleware environments, develops Shell scripts, and conducts performance monitoring and tuning. The role involves ensuring security compliance and providing troubleshooting support for database and middleware issues.
The Associate Scientist will be responsible for developing and validating optogenetic gene therapy vectors, executing assays for discovery and translational research, and supporting preclinical and clinical assays. They must have a minimum of 6-8 years of relevant experience in molecular biology and microbiology techniques.
As a Principal Data Scientist, you will provide technical leadership in developing machine learning applications for AspenTech’s Engineering Product Suite, collaborate with teams to innovate technology strategies, and investigate new technologies for application integration.
The Principal Data Engineer at Hypergiant will develop and improve a data service for cloud-based applications, support data modeling, collaborate throughout the software development lifecycle, ensure high-quality code and data reliability, and lead technical initiatives while fostering a culture of continuous improvement.
The Master Data Manager oversees MDM solutions, manages a team of MDM professionals, and ensures data integrity for supplier information. They are responsible for governance, process improvements, collaboration across functions, and data quality monitoring while acting as a change agent in the organization.
The Manager of Data Science for Pricing Algorithms at CarMax will develop and optimize models that accurately value vehicles based on various market conditions. Responsibilities include analyzing data, leveraging machine learning techniques, conducting controlled experiments, and communicating insights to senior leaders.
The Data Scientist will lead teams in implementing data analytics projects, utilizing advanced techniques in data manipulation and analysis. Responsibilities include developing SQL queries, optimizing data models, and providing strategic insights into complex IT systems. The role emphasizes expertise in handling both small and large data environments.
As a Data Demand Lead at Fragomen, you will manage the data demand process, oversee data requests, collaborate with IT and governance teams, monitor metrics, and ensure compliance with regulatory requirements while implementing data handling best practices.
The Senior Analytics Engineer builds and supports analytics capabilities, designs intuitive dashboards, and ensures data quality. This role involves collaborating with business units to gather requirements, leading data visualization and reporting efforts, and continuously improving analytics tools and processes to meet business objectives.
The Revenue Cycle Data Analyst is responsible for creating reports, designing analytical dashboards, analyzing data for metrics, and collaborating with teams for financial reporting. The role requires solid understanding of revenue cycle management processes and entails attending meetings to present findings.
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