Top Senior Data & Analytics Jobs in Boston, MA

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

Lead the People Analytics team to develop data tools for decision making, manage data governance, and collaborate with diverse teams for effective people data usage.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

Lead a team of data scientists to develop marketing mix and attribution models, providing insights on marketing performance and optimizing investments across products and channels.

The role involves enhancing SimCorp Dimension for investment finance, configuring core functionalities, collaborating with teams, and leveraging SQL for analysis.

As an Actuary for Actuarial Investments and Audit, you'll provide actuarial expertise to support audits, assess risks, and enhance internal controls across the enterprise.

The Bioinformatics Manager will lead drug discovery projects, build client relationships, and mentor junior team members while delivering innovative solutions.

The Data Governance Manager ensures data integrity in Salesforce and other systems for Retail Media, overseeing data governance strategy and practices, improving data accuracy, and facilitating reporting for sales and marketing teams.

As a Senior Data Analyst in Marketing Analytics, you will analyze data, build dashboards, and form insights to influence marketing and sales strategies. This high-visibility role collaborates with key stakeholders and requires strong technical skills in data modeling and visualization.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.