Top Data & Analytics Jobs
The Data Solutions GTM Lead will strategize to grow Spaulding Ridge’s Data Solutions business, focusing on sales cycles, client relationships, and market offerings for cloud-based solutions. Responsibilities include leading sales efforts, developing partnerships, ensuring revenue targets are met, and establishing thought leadership within the industry.
The Business Analyst II analyzes complex business problems using data to provide insights for decision-making. Responsibilities include creating reports based on business needs, ensuring data quality, researching trends for presentations, communicating data concepts to stakeholders, and forming strategic recommendations.
The Data Engineer will design and maintain data systems, develop ETL processes, and collaborate with data scientists on machine learning workflows within a biotechnology company focused on CRISPR-based therapies. Responsibilities include building databases and automated data pipelines while ensuring data governance practices are followed.
Featured Jobs
As an AI Researcher at Vatic Investments, you will develop AI-driven quantitative trading strategies using large market data. Your role involves applying advanced technologies like large language models and neural networks to optimize trading opportunities. Collaboration among top AI talent fosters innovation and growth in this environment.
The Senior Data Engineer will design, build, and maintain ETL pipelines to manage data operations efficiently. Responsibilities include ensuring secure data handling, leveraging cloud systems, and using tools such as SQL, Python, and Spark, while collaborating in an agile environment to meet business requirements.
The Senior Scientist in IVD leads projects in in vitro diagnostic assays, working independently on technical challenges and providing project management and customer support. Responsibilities include developing methodologies, presenting data to clients, and contributing to innovative solutions in diagnostics.
The Head of Compliance Data Analytics will lead the data analytics strategy for global compliance, oversee the development of compliance controls, analyze user and transaction data to identify risks, and manage cross-functional projects to enhance transaction monitoring using advanced technologies.
The Principal Data Engineer will design and optimize scalable data infrastructure, develop ETL pipelines, manage large datasets, and improve data availability and quality in the cloud. Responsibilities include building data quality assurance steps, automating pipelines, and leading project development while mentoring team members.
The Senior Scientist, Application Development is responsible for advancing proteomics sequencing workflows, developing novel applications, optimizing peptide preparation, providing technical support, analyzing scientific data, and collaborating with teams to enhance the platform's capabilities.
As a Senior Data Engineer at Paytronix, you'll extract, load, and transform big data to create actionable insights, collaborating closely with data scientists and software engineers. You will design infrastructure, create real-time ETLs, and build data pipelines for transactional data, working in a collaborative environment to enhance product development.
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