Top Hybrid Data & Analytics Jobs in Boston, MA

As a Senior Analyst in Brand Marketing, you'll optimize marketing strategies, analyze brand health, and create data-driven insights to enhance performance across channels.

Lead the Casino Analytics team to define product metrics, deliver insights, and enhance player experiences through collaboration and mentorship.

Lead and mentor Data Engineers, develop data platforms, manage hiring/training, ensure scalable solutions, and facilitate technical discussions.

As a Strategy Insights & Planning Associate Consultant, you'll solve client business problems through analytics, market research, and project management, while developing client relationships and mentoring associates.

As a Decision Analytics Associate Consultant, you will design and implement analytical solutions for supply chain challenges, develop statistical models, optimize inventory, and mentor junior team members.

As a Strategy Insights & Planning Consultant, you will define project scope, lead project execution, analyze issues, and synthesize findings to provide recommendations to clients, while mentoring junior team members.

The Senior Data Engineer/Data Modeler will design data solutions, optimize financial insights, and ensure data governance using various technologies, primarily in AWS.

The Head, Search and Evaluation, Data and Digital Innovation will enhance R&D strategies by scouting external innovations and collaborating across teams to drive transformative drug development solutions.

The Head of GI A&I leads the Analytics & Insights team, driving strategy and insights generation for the Gastroenterology portfolio and collaborating across departments for data-driven decision-making.

The Demand Forecasting Analyst will track forecast metrics, optimize reporting tools, analyze data sources, and collaborate with cross-functional teams.

The Senior Sales Data Analyst role involves providing data-driven insights for Sales & Service teams to enhance efficiency, drive productivity, and support revenue growth. Responsibilities include developing reports, dashboards, and tools, as well as collaborating with stakeholders to optimize data processes and sales tracking.

The FedNow Data Specialist will analyze data to prevent fraud, implement detection rules, and collaborate with teams to enhance fraud prevention strategies.

The Machine Learning Engineer II will develop and deploy machine learning models, conduct exploratory data analysis, and collaborate across teams to enhance product discovery for Chewy customers.

The Investment Data Analyst will manage data governance, contribute to data strategy, and ensure data accuracy and completeness in investment data.

The role involves designing data infrastructure, implementing data pipelines, and providing strategic guidance while managing teams to enhance data solutions and governance.

As an Applied Researcher I, you'll work in AI to enhance customer experiences, partnering across teams to develop AI solutions and models.