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

The Ecommerce Analyst drives analytics and insights for eCommerce growth, focusing on merchandising and marketing channel performance. Key responsibilities include analyzing revenue drivers, building data-driven business cases, and collaborating cross-functionally to enhance decision-making processes.

As an Analyst I on the Customer Forecasting team, you'll analyze marketing performance, support machine learning initiatives, and build dashboards for decision-making. You'll use forecasting techniques and collaborate with various teams to drive strategies and improve business visibility.

The Senior Financial Business Systems Analyst will lead system implementations, design technology solutions, and mentor team members while collaborating with Finance and Sales operations to optimize financial processes.

As a Product Analyst, you will partner with cross-functional teams to drive data-informed product strategies, define success metrics, and translate insights into actionable recommendations.

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 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 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.