Top Hybrid Business Intelligence (BI) Jobs in Boston, MA

Develop and implement analytics strategy for Chewy pet insurance, focusing on customer segmentation, pricing optimization, and data analysis to drive sales and retention.

The role involves aligning client data strategies to business objectives, utilizing modern cloud environments and developing analytics-driven strategies to drive growth.

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.

The Business Analyst II will deliver analytical insights for Global Operations, focusing on logistics, supply chain performance, and KPI monitoring.

The Manager of Media Analytics & Optimization will lead media performance measurement, drive insights for decision-making, and foster collaboration with senior stakeholders, while utilizing skills in analytics and AI.

The Principal Sales Operations Analyst will leverage data and advanced analytics to drive sales performance, optimize operations, and deliver insights while mentoring junior analysts and collaborating across departments.

The Business Systems Analyst defines business and systems objectives, analyzes needs, leads projects, and ensures alignment with strategies in investment management technology.

The Senior Knowledge Management Analyst leads the transformation of People knowledge into AI-powered experiences, optimizing knowledge content, enhancing employee interactions, and streamlining processes for better service delivery.

The Principal Front-Office Engineer will lead the design and implementation of AI-driven solutions in investment strategies, collaborating with analysts to enhance toolsets and reporting systems.

Lead and grow an analytics engineering team to deliver scalable data models and reporting for Product, Marketing, Finance, and other stakeholders. Drive BI platform vision, collaborate with Product and Data Governance, prioritize work, implement agile practices, and ensure high data quality and performant transformations.