Top Hybrid Data & Analytics Jobs in Boston, MA

As a Distinguished Data Engineer, you will lead the technical strategy for data pipelines, driving innovation and best engineering practices while mentoring internal teams and influencing stakeholders across the enterprise.

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 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.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

The Principal Data Architect II will develop a scalable, cloud-native data platform to enhance AI and ML solutions for biotherapeutics and genetic medicine. Responsibilities include defining data architecture, integrating datasets, and ensuring effective data governance while collaborating with various scientific teams.

As a Staff Data Analyst, you will build and lead analytic initiatives, communicate insights to stakeholders, and drive product-led growth through data storytelling and experimentation.

Lead and deliver data-driven commercial analytics projects for life sciences clients, design/implement data platform and ETL solutions, analyze data and present insights, manage client relationships and project teams, mentor junior staff, and contribute to business development and internal data warehouse initiatives.

The Analytics Engineer will build reliable data models, manage ETL workflows, and support Sales and Customer Success with actionable insights from data. Responsibilities include creating dashboards, designing metrics, and owning data pipelines and quality testing.

The Sr. Analyst II will extract and analyze data insights, assist clients in understanding metrics, support project goals, and improve client service.