Top Data & Analytics Jobs

As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.

The Senior Research Scientist will lead analytics efforts in market access, conducting claims-based analyses and modeling to support life sciences companies. Responsibilities include contributing to business development, structuring statistical plans, mentoring junior analysts, and developing best practices.

The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.

As a Business Analyst, you'll analyze large datasets, providing strategic business recommendations using SQL, Excel, and PowerPoint for storytelling. You'll influence executive decisions, demonstrate Covera’s impact on healthcare outcomes, and manage multiple workstreams in a rapidly changing environment.

The Quantitative Researcher/Analyst at Kronos Research will develop trading strategies, monitor trading performance, conduct research, and create automation tools in a fully remote environment, focusing on DeFi and CeFi markets.

As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.

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.