Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

Lead analytical efforts across product domains, manage a team of analysts, develop tools for analytics at scale, and influence product strategy through insights.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

As a Lead Analyst, you will optimize trading analytics by assessing exchange performance, developing analytical frameworks, and collaborating with teams to enhance trading strategies and customer experience.

Design the architecture for a healthcare data ecosystem, ensuring integration of structured and unstructured data for AI use, while maintaining data quality and governance.

Lead data architecture strategies, drive innovation in data solutions, and oversee compliance with governance and security policies while collaborating with stakeholders to align technical solutions with business needs.

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 Principal Front-Office Engineer will lead the design and implementation of AI-driven solutions in investment strategies, collaborating with analysts to enhance toolsets and reporting systems.

Lead and grow an analytics engineering team to deliver scalable data models and reporting for Product, Marketing, Finance, and other stakeholders. Drive BI platform vision, collaborate with Product and Data Governance, prioritize work, implement agile practices, and ensure high data quality and performant transformations.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

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.