Top Data & Analytics Jobs in Boston, MA

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.

As an Analyst II, you'll analyze data for risk detection and enhance Anti-Money Laundering defenses, collaborating with multiple teams to operationalize risk insights.

As a Lead Analyst, you'll use data insights to improve sportsbook operations, evaluate A/B tests, and influence strategic decision-making. You'll partner with teams to analyze customer behavior, build dashboards, and present findings.

As an Analyst II, you will analyze data to guide product strategy, improve customer engagement, and measure performance through collaboration with cross-functional teams.

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.

The Business Analyst develops and presents Annual Recurring Revenue metrics, supports FP&A reporting, and integrates AI for financial insights.

The Senior Business Intelligence Engineer will design, develop, and optimize BI dashboards and reports using Amazon QuickSight, engaging with stakeholders and mentoring junior team members.

The Manager of Business Analytics will develop brand measurement strategies and lead media effectiveness analysis to optimize marketing investment and drive member growth.

Support client engagements applying optimization, operations research, and AI-enabled analytics to logistics, transportation, warehousing, and distribution. Build models (LP/IP, network flow, heuristics, simulation), analyze messy data, design AI-enabled decision systems, produce client-ready deliverables, and collaborate with stakeholders to implement recommendations.

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.

This role involves analyzing and optimizing business systems to enhance operational efficiencies and support various technology services for grocery brands.