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

Conduct quantitative research using surveys, experiments, and advanced statistical methods for healthcare and life sciences client engagements. Analyze data, develop insights and visualizations, support rigorous research design, and translate findings into actionable recommendations. Collaborate with consulting teams and global delivery groups while ensuring research quality and communicating complex concepts to technical and non-technical audiences.

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.

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.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

Lead design and maintenance of data warehouse architecture, schemas, and ETL to support reporting and BI. Provide Oracle DBA support (configuration, backup, tuning), integrate enterprise systems (Workday, Cayuse, Lawson), enforce data governance and security best practices, and collaborate across IT to document and optimize data solutions.

Design and scale reliable data platforms, pipelines, Java microservices, APIs, and reporting infrastructure. Build data validation and reconciliation workflows, support distributed systems, improve pipeline performance and resiliency, and partner with engineering, analytics, and business teams. Contribute to cloud-native infrastructure, CI/CD, Docker, Kubernetes, dashboards, and self-service reporting modernization.

Design and lead scalable data architecture and AI pipelines that transform disparate and unstructured data into production-ready organizational intelligence. Build batch and streaming integrations with Snowflake, optimize databases through sharding, replication, indexing, and normalization, and support relational, vector, graph, and document data models. Collaborate with data scientists and analysts, develop enabling frameworks, document architecture, and guide production-ready AI infrastructure across AWS and enterprise platforms.

Architect and maintain secure cloud data infrastructure, scalable schemas, and resilient batch and streaming pipelines. Deploy data platforms using Terraform, Helm, CI/CD, and infrastructure-as-code practices. Build monitoring and alerting for data health, system performance, and container observability. Troubleshoot application workflows, database queries, and pipeline logic while advancing data governance. Support MLOps through AI model versioning, containerization, and deployment.

Build scalable data infrastructure, pipelines, streaming solutions, and governed data models supporting regulatory reporting, financial operations, analytics, and AI-powered applications. Partner with Engineering, Compliance, Analytics, and business teams to deliver accurate, auditable data products. Improve data quality, observability, platform reliability, and engineering productivity while mentoring teammates and contributing to modern cloud data platform strategy.

Leads workforce planning analytics, forecasting, executive reporting, conversational self-service analytics, applied research, and AI transformation measurement. Builds automated reporting and analytical products using Python or R, SQL, and AI tools; develops governed semantic models and data products; monitors organizational design and data quality; and advises senior leaders on workforce and investment decisions.