Top Hybrid Data & Analytics Jobs in Boston, MA

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 role involves leading the IT compliance and CSV/CSA framework, ensuring regulatory compliance, managing audits and inspections, overseeing validation activities, and partnering with various stakeholders.

Turn complex data into actionable insights for National Accounts by performing statistical analysis, forecasting, modeling, and automated reporting. Build dashboards and executive presentations, diagnose data quality, partner with account teams, data engineers, and finance to influence decisions and track performance metrics.

Owner of the semantic layer: build and maintain core data models and metrics, run dbt orchestration with CI/CD and testing, implement reverse ETL pipelines, and enforce PHI access controls to keep data HIPAA-compliant.

Support and lead Pre-Award initiatives including process mapping, operational analysis, data modeling, KPI assessment, change management, and project management. Develop policies, training and communications, present findings to leadership, and coordinate cross-functional stakeholders to improve sponsored research administration.

Lead the design and evolution of the enterprise data platform, establish standards, mentor teams, and collaborate across departments to deliver high-quality data products.

The Staff Analytics Engineer will architect and manage CodeRabbit's BigQuery warehouse, develop revenue models, and ensure data governance while collaborating with various teams to enhance business intelligence.

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

The Statistical Programmer will lead programming support for clinical data analysis, ensuring compliance, managing CROs, and developing automation tools. Requires SAS expertise.