Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

Own end-to-end data pipelines and production-grade dbt models (Snowflake) for Sales and Product analytics. Build governed data marts, dimensional models, and reverse ETL workflows. Improve data quality, testing, monitoring, and documentation. Partner with GTM, Product, and BI stakeholders, mentor peers, and contribute to platform tooling (Airflow, Terraform, AWS) to enable reliable, scalable analytics.

Lead analytical monitoring and strategic analysis for homeowners insurance, translate findings into executive recommendations, present to senior leadership, partner across the business to drive profitable growth, and mentor junior team members.

Lead data validation and risk analytics initiatives for clients, applying advanced analytics, data manipulation, visualization, and predictive modeling. Set strategic direction, oversee multiple projects, cultivate executive client relationships, mentor teams, and drive business development while ensuring data integrity and security.

Design, build, and own the full data platform (ingestion, modeling, CI/CD, orchestration, observability, and BI). Implement streaming and batch pipelines for IoT data, enable governed self-service, enforce data governance/privacy/security, evolve AI access patterns, and provide technical leadership and mentorship to data engineers and data scientists to deliver production-ready analytics and ML capabilities.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

Build scalable cloud data infrastructure and pipelines to transform transactional and financial data into reporting-ready datasets. Ensure accuracy, traceability, governance, and observability; partner with cross-functional teams, mentor engineers, and leverage AI-assisted tools to improve engineering productivity and enable AI-powered applications.

Lead strategy, governance, and operations for the ServiceNow CMDB and enterprise analytics. Drive CMDB data quality, CSDM adoption, reporting, dashboards, and KPIs. Partner with engineering, security, architecture, and service owners; manage budgets, vendors, and a team of administrators, analysts, and governance specialists to deliver actionable insights and improve service management.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.