Top Data & Analytics Jobs in Boston, MA

The role involves analyzing large datasets to ensure compliance, translate analyses into insights for stakeholders, and improve compliance processes through data solutions.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

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 an Analytics & BI Intern, you'll analyze e-commerce data, create dashboards using SQL and BI tools, and perform ad hoc analyses to assist decision-making across teams.

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

The Business Analyst II will deliver analytical insights for Global Operations, focusing on logistics, supply chain performance, and KPI monitoring.

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.

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

The Data Program Associate will manage data acquisition, partner with product teams, evaluate business cases, and enhance data quality using AI systems.

The Data Engineer collaborates on building data pipelines, utilizing tools like Snowflake and AWS, and transforming data for analytics, ensuring data integrity and governance.