Top Hybrid Data & Analytics Jobs in Boston, MA

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

Lead commercial analytics to diagnose sell-through, pricing, promotions, assortment, and retailer execution. Build causal measurement, test-and-learn designs, elasticity and incrementality analyses, and deliver executive-ready recommendations to optimize revenue, margin, and share.

Lead analytical method validation and drive process excellence initiatives. Collaborate with CDMOs, support quality systems, and manage documentation for regulatory compliance.

Partner with Product and Customer Success to build and maintain Snowflake-backed dbt models, dashboards, and KPIs. Ensure data quality and governed semantic layers, enable self-service analytics, support recurring reporting and executive reviews, and align analytics with Applied AI and automation workflows.

Lead and grow the analytics function, manage analysts, partner with business leaders, develop dashboards and KPIs (Tableau/Power BI), oversee data warehouse and ETL/ELT pipelines (e.g., Snowflake), ensure data governance, quality, and compliance, and drive data-informed decisions across member growth, lending, deposits, and digital engagement.

As the Distinguished Architect, you will lead the design and implementation of CloudZero's next-generation data platform, focusing on streaming architecture, data modeling, and optimizing query engines to enhance cost attribution and performance at scale.

Oversee client proposals and projects, leveraging coding skills for data processes, mentoring teams, and identifying growth opportunities in life sciences.

The Director, Forecast & Research will lead forecasting, market research, and insights generation for Xenon's epilepsy portfolio, collaborating with cross-functional leaders to deliver actionable analytics.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.

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.