Top Data & Analytics Jobs

The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.

Seeking a highly experienced Senior Data Engineer to develop and maintain the data architecture of an AI-powered platform for clinical-stage biotech companies. Remote position with significant overlap with Los Angeles working hours.

As a Data Architect, you will help build and deploy analytics solutions for healthcare providers, transforming raw data into actionable information and designing scalable data models. Your expertise in SQL and cloud technologies will guide customers through complex technology requirements, ensuring high-quality project deliverables.

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.

The Principal Solutions Architect will manage multiple project workstreams, design cloud data architectures, lead junior members, communicate with clients, and contribute to proposal developments, ensuring high-quality deliverables and client satisfaction.

As a Data Engineer, you will design and manage data architecture, optimize data pipelines, and ensure data quality while collaborating with product and data teams to meet internal and external data needs.

The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.