Top Hybrid Data & Analytics Jobs in Boston, MA

The Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

As a Data Scientist, you'll build and maintain portfolio systems, design risk frameworks, run backtesting experiments, and collaborate across teams to enhance portfolio analytics using AI-driven predictions.

The Technical Privacy Compliance Manager will oversee and scale DraftKings' DSR and data lifecycle programs, collaborating with various teams to implement data management solutions while ensuring compliance with privacy regulations.

As an Analyst I in Marketing Analytics, you'll analyze marketing performance, build reports, collaborate with teams, and enhance measurement frameworks using statistical methods.

As a Privacy Specialist, you will manage data inventory operations, document data flows, and ensure compliance with privacy regulations while collaborating with internal teams.

As a Data Scientist II, you will improve outbound operations using predictive modeling, optimization techniques, and data analysis, while collaborating with cross-functional teams.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

As a Salesforce TPM Manager, you will lead Trade Promotion Management implementations, translate requirements into solutions, mentor teams, and foster client relationships while ensuring adherence to project quality and timelines.

Develop and apply advanced statistical models, design custom analyses (Python/R/Tableau/SAS/Excel), synthesize and present results to clients, manage client relationships, create deliverables, and mentor junior team members.

The Senior Business Analyst will collaborate with various teams to analyze data, drive product strategy, develop health KPIs, and provide actionable insights to improve member experience.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

The Data Engineer will design and develop data platforms, manage ETL pipelines, optimize data models, and ensure data governance within an Agile team.