Top Business Intelligence Engineer Jobs in Boston, MA

The role involves designing and implementing BI solutions, managing multiple projects, and collaborating with various teams to drive business success through data-driven recommendations.

The Business Intelligence Developer will build scalable data models, develop KPIs, optimize BI tools, and translate insights for strategic decision-making across departments.

Develop and support business intelligence using Microsoft tools, assist Data Scientists, troubleshoot queries, and manage analytics projects.

The Business Intelligence Developer will design and implement data analysis and reporting solutions, focusing on clinical department needs, utilizing PowerBI and SQL while ensuring data accuracy and stakeholder satisfaction.

The Power BI Developer will focus on BI analysis, design, reporting, and ensuring data quality while utilizing various BI tools to drive business decisions.

The Revenue Cycle BI Developer will design and implement data extraction solutions, conduct data analysis, and support reporting needs using various BI tools.

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

The Power BI Developer will create reports and dashboards, manage Power BI services, connect data sources, and ensure data visualization meets user needs while maintaining security and compliance.

The BI Developer will create dashboards and reports, integrate data, optimize performance, and collaborate with teams to support data-driven decisions in Sharecare's Carelinx line of business.

The Power BI Engineer will develop, enhance, and support applications and workflows, focusing on Microsoft D365 and Power BI while mentoring team members.

The Lead BI Developer will oversee the architecture and optimization of the BI ecosystem, focusing on Power BI, mentoring teams, and ensuring high-quality analytical data. Responsibilities include designing data models, leading strategy, and enhancing BI capabilities across the organization.

The Senior Analytics Engineer will translate data into actionable insights, lead BI design, develop dashboards, and ensure data quality standards while facilitating training across divisions.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

This role involves leveraging your technical knowledge to help teams tackle client challenges and enhance solutions for better success.

The Business Intelligence Engineer collaborates with stakeholders to gather reporting requirements, develop solutions, and provide data-driven insights using various data sources, while ensuring high-quality service delivery and effective communication.

As a BI/Data Engineer, you will build and manage SQL models, consolidate ML pipelines, and create reports to support business decisions.

Seeking a Senior Business Intelligence Engineer to optimize data infrastructure and reporting for Natera's Patient Experience team, focusing on analytics and visualization tools.

As a Software Engineer II at Attentive, you'll develop scalable data models, enhance analytics capabilities, and collaborate with cross-functional teams to support BI and reporting needs.

The Sr. BI Engineer will oversee the data lifecycle, architect data pipelines, ensure data governance, and partner with stakeholders for analytics, using SQL, Snowflake, Python, and Tableau.

Design, develop, and maintain data warehouse and analytics architecture for business analysis and reporting needs. Collaborate with business users and manage projects effectively.

As a Software Engineer II on the BI Reporting Team, you will develop scalable backend systems, collaborate with cross-functional teams, and contribute to high-performance applications within a high-impact culture.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

Lead information architecture practices, develop strategic data architecture solutions, manage risks, and ensure compliance with data governance and privacy policies.