Top Data & Analytics Jobs
The Database Engineer will oversee database administration, monitor system performance, troubleshoot issues, and enhance database scripts. Responsibilities include implementing database security, performance tuning, and handling Oracle Streams replication, while supporting a large technical program within an agile team environment.
The Data Scientist will analyze data, conduct comprehensive analyses, develop insight pipelines, and present findings to stakeholders. This role involves collaborating with engineers and advising on product improvements, utilizing advanced analytical methods and statistical tools to enhance user-facing products.
As a Research Scientist, you will conduct research focusing on AGI, design and implement AI algorithms and systems, collaborate with teams, and present findings.
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As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data warehouse architecture, and enable advanced analytics across the organization. You will collaborate closely with software engineers to ensure data quality, create data models, implement data governance, and develop data visualization tools, all while mentoring team members and establishing best practices.
The Senior Scientist at Gator Bio will discover new applications for existing products and develop immunoassay products. Responsibilities include exploring bioconjugation and polymer strategies, product development from feasibility to launch, troubleshooting with customers, and managing the BSL2 lab facility.
The Fraud Intelligence Analyst position involves analyzing data related to fraudulent activities, assessing risks, and implementing strategies to mitigate fraud. Responsibilities include utilizing analytical skills to discern patterns and trends in fraud analysis to improve protective measures.
The Mid-Revenue Cycle Optimization Analyst role involves improving clinical and business processes, developing test plans, facilitating software transitions, maintaining documentation, conducting data analysis, and providing training on systems. The analyst collaborates with IT and stakeholders to ensure accurate data maintenance and system optimization.
As a Principal Data Engineer at Lovelytics, you will design and implement data pipelines using Databricks, architect data lakes and warehouses, and ensure project milestones are met. You will also lead technical engagements, translate business requirements into solutions, and collaborate with teams to optimize data governance and security.
As an Engineering Systems Analyst, you will support the Windchill PLM infrastructure, manage engineering applications, consult with cross-functional teams, train users, and enhance systems related to PLM and CAD. You will also drive best practices and address product usage issues.
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Business Intelligence SMEs design and implement business intelligence applications, develop test plans, and manage data integration processes. They may oversee junior staff to ensure successful completion of data warehousing tasks.
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