Top Senior Data & Analytics Jobs in Boston, MA

The Director, Data Engineering will lead the enterprise data platform strategy, focusing on architecture, data pipelines, AI enablement, and team collaboration. Responsibilities include overseeing data ingestion, processing, quality standards, and modernizing infrastructure for cloud adoption.

Develop and implement analytics strategy for Chewy pet insurance, focusing on customer segmentation, pricing optimization, and data analysis to drive sales and retention.

The Systems Support Analyst will manage access governance, validate workflows, conduct data analysis, and produce reports while collaborating with diverse teams to enhance customer service operations.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

Create and maintain data capabilities across the Advisor360° platform, building scalable data pipelines, updating integration capabilities, and troubleshooting systems.

The Senior Analytics Engineer will own data pipelines and models for Sales and Product analytics, ensuring data quality and governance. They will collaborate with cross-functional teams to facilitate data-driven decisions and enhance productivity through scalable data solutions.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.