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 Underwriter will review and underwrite loans, ensuring compliance with standards, and assist in loan structuring and evaluation.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

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

The Procurement Analyst develops reporting and analytics to enhance visibility into protein supply chains, partnering with finance and commercial teams to track performance and inform decisions.

The Senior/Principal Scientist will lead computational analyses of large-scale omics data to support drug discovery, develop scalable analytical workflows, and collaborate with cross-functional teams for actionable insights.

The Risk Analytics Associate will analyze client data, deploy AI models for synthetic data generation, and communicate insights to stakeholders, adhering to data privacy standards.

The role involves owning forecasting, variance analysis, and commercial analytics, while maintaining data infrastructure and producing executive-ready outputs. The ideal candidate is a hands-on analyst with deep forecasting experience in the pharmaceutical industry, responsible for strategic analysis for the executive team.

The Data Analytics Manager leads a team to drive data-informed decision-making, improve member experience, oversee data governance, and optimize the data warehouse and analytics capabilities.