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

Lead reporting and analytics for the finance domain, translate business requirements to product and tech teams, own data migration and roadmap, ensure data quality, enable data-driven automation and ML, coordinate organizational readiness for reporting transition, and manage stakeholder communications to deliver measurable business outcomes.

Lead analytical efforts across product domains, manage a team of analysts, develop tools for analytics at scale, and influence product strategy through insights.

As a Senior Associate, you'll lead the development of Salesforce Marketing Cloud solutions, mentor junior members, analyze complex problems, and build strong client relationships while ensuring high-quality standards.

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 Associate Business Systems Analyst supports data systems design, gathers requirements, documents processes, and collaborates with teams to improve systems and explore AI applications.

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.

The role involves partnering with executives to provide strategic insights based on analytics, guiding decisions that impact operations and performance across various business areas.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

The Staff Analytics Engineer leads business intelligence initiatives, develops a governed semantic layer, and advocates for a data-driven culture while leveraging AI tools for analytics.

The Power BI Developer will build enterprise data models using Power BI, develop self-service analytics, and assist business users with requirements while ensuring application security. The role requires collaboration with government personnel and technical expertise in Azure and SQL.