Top Hybrid Data & Analytics Jobs in Boston, MA

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.

As a BI Engineer I Co-op, you'll manage reporting development, provide user support, and improve data processes while engaging with business leaders.

The Business Intelligence Engineer II will design and implement data solutions, manage ETL processes, develop analytics tools, and enhance data visualization for business insights and reporting.

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.

The Business Systems Analyst will analyze business needs and system requirements, lead complex projects, and support investment management initiatives.

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

The Manager of Ontology and Data Modeling develops and maintains enterprise ontologies, collaborates with teams across Capital One, and advocates for semantic technology integration in products and services.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

As an Analyst II, you will enhance fraud prevention strategies, improve risk workflows, and collaborate with teams to analyze data and streamline operations.

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.