Top Hybrid Data & Analytics Jobs in Boston, MA

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 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.

The PLEXOS Modeling Consultant develops and evaluates models using PLEXOS software, collaborates with teams on modeling strategies, translates data into visual formats, and communicates findings to clients, promoting solutions to energy-related issues.

The Vice President of Biometrics & Data Management leads strategic and operational functions in biostatistics and data management, focusing on oncology clinical trials, governance, and regulatory interactions.

The Principal Analytics Architect will lead the design and implementation of data architecture and analytics solutions, ensuring integration and scalability, while collaborating with technical and business teams to establish best practices and drive data insights.