Top Analytics Engineer Jobs in Boston, MA

The Senior Analytics Engineer will lead the development of analytics pipelines, optimize data models, and enhance data reliability and performance across the organization, collaborating with various teams to implement best practices and improve scalability.

As a Developer, Data Analytics, you will analyze data to generate insights for operational decisions, build models, and collaborate with teams while ensuring data integrity.

As a Senior Analytics Engineer, bridge data engineering, data science, and business analytics by building scalable data solutions. Develop data models, create insights, and collaborate with cross-functional teams to enhance data-driven decisions and optimize processes.

The Senior DataOps Engineer will design and maintain cloud data pipelines, manage CI/CD, and collaborate with cross-functional teams to enhance analytics services.

The Senior Analytics Engineer will architect and optimize data models, ensure data quality, support business analysts, and collaborate with engineering teams.

The Senior Analytics Engineer will enhance data models, optimize warehousing processes, and foster data exploration and literacy across the company.

The Senior Data Engineer will architect data models, optimize ELT pipelines, ensure data quality, and collaborate with stakeholders to enhance analytics and reporting.

The Analytics and Reporting Engineer gathers customer requirements to deliver custom reports and ensures project deadlines. Collaborates with teams while mastering software solutions.

As a Sr. Analytics Engineer, you will automate data flows, perform data analysis, and optimize data access to solve business problems. You will design and implement solutions and mentor other engineers.

The Senior Analytics Engineer will develop datasets, dashboards, and analytics solutions for business teams, focusing on data curation, reporting, and collaboration with stakeholders to drive insights from data.

As a Senior Data Engineer at CVS Health, you will design, develop, and maintain data pipelines, work with complex datasets, and collaborate with teams to provide actionable insights, primarily utilizing GCP and modern data tools.

The Senior Analytics Engineer will lead data initiatives for the Go-To-Market function, focusing on data ecosystem management and collaboration across teams for strategic insights and revenue growth.

The Data Engineer will design and develop ETL pipelines, data visualizations, and ensure data integrity from multiple sources, enhancing decision-making processes.

Lead the development and management of financial data initiatives, collaborating with leadership and teams to enhance data utilization and reporting.

Lead the creation of a business intelligence data stack, implementing data pipelines and analytics solutions, and collaborating with teams to improve decision-making.

As Sr. Data Engineering Lead, you will create and manage data pipelines, ensuring data quality and integrity while collaborating with teams to meet business data needs.

Lead the data architecture strategy and implementation using AWS technologies while integrating Machine Learning, AI, and real-time data streaming solutions. Collaborate across teams to ensure data-driven initiatives align with business goals and maintain high performance and scalability of data solutions.