Top Hybrid Data & Analytics Jobs in Boston, MA

As a Lead Analyst, you will optimize trading analytics by assessing exchange performance, developing analytical frameworks, and collaborating with teams to enhance trading strategies and customer experience.

The Associate Analyst will support the Brand Partnerships team by managing media plans, analyzing performance data, collaborating with teams, and ensuring accurate invoicing while leveraging insights for strategy development.

As an Analyst II, you'll improve sportsbook performance using data insights, collaborate on strategic decisions, and develop analytics tools and reports.

Leads strategic analytics for the Healthcare Product team, mentoring analysts and collaborating with various departments to enhance user experience and drive product decisions.

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.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Develop solutions for client business problems, conduct research, design analyses, communicate results, and support project management while mentoring Associates.

The Manager of Advanced Analytics & Automation leads the strategic analytics and AI automation initiatives for customer intelligence, building data models, insights, and automation workflows to enhance customer success and retention.

The Senior Data Engineer will develop data governance frameworks, ensure data quality, manage tools for metadata and lineage, and collaborate with teams for data policies and training.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

Join the Data Science Co-Op at Bose to engage with stakeholders, build predictive models, and explore data related to audio technology innovations.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.